Qualification: 
Ph.D, M.Tech
Email: 
r_gandhiraj@cb.amrita.edu

Dr. Gandhiraj R. currently serves as Assistant Professor (Senior Grade) at Department of Electronics and Communication Engineering, School of Engineering, Coimbatore Campus. His areas of research include Digital Communication, Wireless Communication and Signal Processing for communication particularly in Software Defined Radio. He has been awarded Ph.D on Aug 2017, from Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore.

EDUCATION

  • 2009-2017: PhD - Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore
  • 2004-2006: M.Tech in Digital Systems and Communication from National Institute of Technology Calicut.
  • 1995-1999: B.E in Electronics and Communication Engineering from Bharathiar University, Coimbatore.

RESEARCH

FUNDED PROJECTS

REVIEWER

SESSION CHAIR

  • IEEE National Conference on Communication, Signal Processing & Networking  2014 , Dept. of ECE, NSS College of Engineering, Palakkad, 11 Oct 2014.
  • National Conference on Innovations in Information and Communication Technologies for Rural Development (NCICT 2014) , by Department of ECE, Sri Krishna College of Technology, Coimbatore, 21 – 22 February 2014.
  • National Conference on Intelligent Manufacturing & Automation Systems NCIMAS 2013, Organised by Dept. of Mechanical Engineering, Hindustan College of Engineering and Technology, Coimbatore, 03 - 04 April 2013

CURRENT RESEARCH

  • Compressed Sensing in Wireless Communication
  • Communication System development using GNU Radio with USRP

Publications

Publication Type: Conference Paper

Year of Publication Publication Type Title

2017

Conference Paper

J. Adarsh, Vishak, P., and Gandhiraj R., “Adaptive noise cancellation using NLMS algorithm in GNU radio”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, Coimbatore, 2017.[Abstract]


In this paper, an adaptive noise cancellation technique using NLMS algorithm in GNU radio is proposed. In adaptive noise cancellation, the noise free signal is obtained by estimating the noise and interference and then adaptively filtering them out from the received signal. In this method, an adaptive noise canceller recovers the desired signal corrupted by noise using NLMS (Normalised Least Mean Square) algorithm. The experiments are carried out with a normal cosine signal source and an audio signal in GNU Radio. The results obtained show the effective operation of NLMS algorithm in adaptive noise cancellation. © 2017 IEEE.

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2017

Conference Paper

Gandhiraj R., T, V., B, S. Bharath Ku, K, V. Sri Sushma, and Soman K P, “Outernet: A digital Library at zero cost for Indian Schools”, in IEEE International Conference on Communication and Signal Processing (ICCSP 2017), Tamil Nadu, 2017.

2017

Conference Paper

P. Raja, Alwarappan, G. Subramania, S, S., C, S., and Gandhiraj R., “Classification of EMI Signatures for Smart Grid”, in 2017 IEEE International Conference on Communication and Signal Processing (ICCSP 2017), Tamil Nadu, 2017.

2017

Conference Paper

R. K Kumar, Anand, R., and Gandhiraj R., “Implementation of noise cancellation using least mean square in GNU radio”, in 2017 IEEE International Conference on Computer Communication and Informatics (ICCCI 2017), Coimbatore, 2017.

2017

Conference Paper

H. Haritha, Seethal, C. R., and Gandhiraj R., “Realization of Kalman filter in GNU radio”, in IEEE International Conference on Computer Communication and Informatics (ICCCI 2017), , Coimbatore, 2017.

2016

Conference Paper

S. M and Gandhiraj R., “Applicability of MIMO and OFDM technology to SATCOM”, in IEEE International Conference on Communication and Signal Processing-ICCSP'16, Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu, 2016.

2016

Conference Paper

Gandhiraj R. and Subramanian, S., “Insight to AMP and ADMM Based Sparse Signal Reconstruction”, in IEEE International Conference on Communication and Signal Processing-ICCSP'16, Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu, 2016.

2016

Conference Paper

N. C, Gandhiraj R., C, V. Prathab, S, P. M., and P, J., “Shannon-Fano-Elias Coding for Android Using Qt”, in 5th IEEE International Conference on Communication and Signal Processing-ICCSP'16, Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu, 2016.

2016

Conference Paper

Gandhiraj R., Radhakrishnan, J., S, S., Kurian, G., and Alluri, D., “Huffman Encoding and Decoding Using Android”, in 5th IEEE International Conference on Communication and Signal Processing-ICCSP'16, Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu, 2016.

2016

Conference Paper

A. A, Nair, A. G., Radhakrishnan, N., ,, and Gandhiraj R., “Android Application using Qt for Shanon-Fano-Elias Decoding”, in IEEE International Conference on Communication and Signal Processing-ICCSP'16, Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu, 2016.

2016

Conference Paper

, S, A. Rajalakshm, Raghavan, R., V, V. Gopal G. S., and Gandhiraj R., “Huffman Encoding and Decoding algorithm using IJulia”, in IEEE International Conference on Communication and Signal Processing-ICCSP'16, 2016.

2016

Conference Paper

, ,, and Gandhiraj R., “Android App for Arithmetic Encoding and Decoding”, in IEEE International Conference on Communication and Signal Processing-ICCSP'16, Adhiparasakthi Engineering College, Melmaruvathur, Tamil Nadu, 2016.

2015

Conference Paper

P. Kavitha, K. Mohan, M., Surya, R., Gandhiraj R., and Soman, K. P., “Implementation of CDMA in GNU radio”, in International Conference on Information and Communication Technologies (ICICT 2014), Bolgatty Palace and Island ResortKochi, 2015, vol. 46, pp. 981-988.[Abstract]


This paper proposes the real time implementation of CDMA, a multiple access technique, which brings forth the complete bandwidth usage by spreading the data of same transmitted power, over the whole bandwidth thereby ensuring safe communication and preventing the occurrence of jamming. GNU Radio is a software defined radio which puts experiments into practice using software rather than the normal hardware implementation. Blocks for data spreading, code despreading with and without code tracking are created using Zero Correlation Zone code (ZCZ, a combination of ternary codes that is 1, 0 and -1 which is specified in the program). Thus the real time implementation of CDMA checks the feasibility of an asynchronous multiuser communication among users with good results. © 2015 Published by Elsevier B.V. More »»

2015

Conference Paper

C. Anjana, Sundaresan, S., Zacharia, T., Gandhiraj R., and Soman, K. P., “An experimental study on channel estimation and synchronization to reduce error rate in OFDM using GNU Radio”, in Procedia Computer Science, Bolgatty Palace and Island ResortKochi; India; 3, 2015, vol. 46, pp. 1056-1063.[Abstract]


Orthogonal Frequency Division Multiplexing (OFDM) is a particular case of multicarrier transmission in which, higher data rates are achieved using carriers that are densely packed. In this paper, implementation of OFDM communication system with channel estimation and synchronization is carried out and the bit error rate (BER) of OFDM system with and without channel estimation is observed and correspondingly a plot is traced. The choice has been made because of the advantages that OFDM and SDR has shown in terms of channel capacity and cost. Implementation of the prototype has been in GNU Radio; an open source software. © 2015 The Authors. More »»

2015

Conference Paper

S. Santhosh, Arunselvan, S. J., Aazam, S. H., Gandhiraj R., and Soman, K. P., “Multicast WebSDR implementation using RTL-SDR”, in ICIIECS 2015 - 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems, Karpagam College of EngineeringCoimbatore; India; , 2015.[Abstract]


The advent of internet provides better solution for many real time problems mainly audio streaming. Fast development in internet provides the pathway for accessing audio signals of the remote place. Software Defined Radio creates the platform of WebSDR, which provides the solution of online audio streaming. WebSDR allows many users to tune and listen simultaneously via internet. So far in the Indian sub-continent, there is no service of WebSDR server. In this paper, WebSDR server is created on Linux platform. This audio streaming platform helps in solving social problems during the course of disaster and flood. This server is created using RTL - SDR 2832U as the hardware platform which receives signals via a newly modeled omni directional antenna. Initially, the server is designed for 20 MHz bandwidth with the operating frequency of 90 MHz. © 2015 IEEE. More »»

2015

Conference Paper

L. S. Kiran, G. Parvathy, M., Hisham, P. M., Gandhiraj R., and K. P. Soman, “Study of multirate systems and filter banks using GNU Radio”, in 4th IEEE International Conference on Communication and Signal Processing-ICCSP'15, Department of Electronics and Communication Engineering, Adhiparasakthi Engineering College, Chennai, 2015.

2015

Conference Paper

S. Sundaresan, Anjana, C., Tessy, Z., and Gandhiraj R., “Real Time Implementation of FMCW Radar for Target Detection using GNU Radio and USRP”, in 4th IEEE International Conference on Communication and Signal Processing-ICCSP'15, Department of Electronics and Communication Engineering, Adhiparasakthi Engineering College, Chennai, 2015.[Abstract]


Nowadays, FMCW (Frequency Modulated Continuous Wave) radar is widely adapted due to the use of solid state microwave amplifier to generate signal source. The FMCW radar can be implemented and analyzed at low cost and less complexity by using Software Defined Radio (SDR). In this paper, SDR based FMCW radar for target detection and air traffic control radar application is implemented in real time. The FMCW radar model is implemented using open source software and hardware. GNU Radio is utilized for software part of the radar and USRP (Universal Software Radio Peripheral) N210 for hardware part. Log-periodic antenna operating at 1GHZ frequency is used for transmission and reception of radar signals. From the beat signal obtained at receiver end and range resolution of signal, target is detected. Further low pass filtering followed by Fast Fourier Transform (FFT) is performed to reduce computational complexity.

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2015

Conference Paper

M. Kokila, Kavinandhini, M., Vishnu, R., and Gandhiraj R., “Linear Algebra Tool box for GNU Radio Companion”, in 4th IEEE International Conference on Communication and Signal Processing-ICCSP'15, Department of Electronics and Communication Engineering, Adhiparasakthi Engineering College, Chennai, 2015.

2014

Conference Paper

S. Nimmi, Saranya, V., Theerthadas, and Gandhiraj R., “Real-time video streaming using GStreamer in GNU Radio platform”, in Proceeding of the IEEE International Conference on Green Computing, Communication and Electrical Engineering, ICGCCEE 2014, Coimbatore; India, 2014.[Abstract]


This paper introduces the basic concepts of real time video streaming using GStreamer through an open source low cost platform - GNU Radio. The GStreamer serves as a base to create many types of multimedia applications such as video editors, streaming media players and media broadcasters. It can help educators to face the challenges of different learning styles and enhance the way in which students can process and use the information. A simple web camera is used to stream the video to the GNU Radio through a GStreamer pipeline. Streamed data can be received and transmitted by a server in real time using Mplayer. The transmitted video is displayed at the receiver block. At the receiver side, buffering is done to store the live video stream. The proposed technique provides a reliable means of sharing real time videos among people using RTL-SDR and USRP. © 2014 IEEE. More »»

2014

Conference Paper

K. R. Jijeesh, Anupama, V., Raghavachari, C., and Gandhiraj R., “Study of polyphase structure made easy using GNU Radio”, in Proceeding of the IEEE International Conference on Green Computing, Communication and Electrical Engineering, ICGCCEE 2014, https://www.scopus.com/record/display.uri?eid=2-s2.0-84910640510&origin=inward&txGid=0, 2014.[Abstract]


Our current education system lacks in providing visualization of concepts, without which the learning process is incomplete. Particularly, in case of complex signal processing algorithms, visualizing is very difficult or almost impossible. The aim of this paper is to understand and provide visualization of the basic concepts of multirate signal processing using low cost computing platform, GNU Radio. Multirate signal processing has a significant influence at the physical or hardware layer of modern communication systems. In real, multirate signal processing is found at the core of communication systems that couple the Software Defined Radio (SDR) and Software Communications Architecture (SCA) to reconfigure system resources for operation over a wide range of modulation formats and waveforms. In multirate systems, polyphase structure plays an important role in reducing the computation rate by noble identities. The parallel processing makes it very efficient in implementation architecture. GNU Radio companion is an open source graphical simulation tool which we utilized for better understanding of complex signal processing concepts. In our paper we have implemented simple multirate signal processing building blocks. © 2014 IEEE. More »»

2014

Conference Paper

R. Anil, Danymol, R., Gawande, H., and Gandhiraj R., “Machine learning plug-ins for GNU Radio Companion”, in Proceeding of the IEEE International Conference on Green Computing, Communication and Electrical Engineering, ICGCCEE 2014, Dr. N. G. P. Institute of Technology, Coimbatore, 2014.[Abstract]


This paper gives an insight about how to create classifier plug-ins (signal processing blocks) using hard-code input for GNU Radio Companion (GRC). GNU Radio Companion is an open source Visual programming language for any real time signal processing applications. At present there is no classifier block available inside this GRC tool. Here we are introducing a low cost classifier which utilizes the basic machine learning algorithms:linear regression and logistic regression. The creation of classifier plug-ins in an open source software enables easy manipulation of real time classification problems during the transmission and reception of signals in Software Defined Radios. So this workdescribes the development of signal processing block that can be done by changing the Python code and C++ codes of the 'gr-modtool' package. It is highly cost effective and with great potential since GNU Radio software is open source and free. © 2014 IEEE. More »»

2014

Conference Paper

S. Ravindranath, Ram, S. R. N., Subhashini, S., Reddy, A. V. S., Janarth, M., Aswathvignesh, R., Gandhiraj R., and Dr. Soman K. P., “Compressive sensing based image acquisition and reconstruction analysis”, in Proceeding of the IEEE International Conference on Green Computing, Communication and Electrical Engineering, ICGCCEE 2014, 2014.[Abstract]


Compressive sensing is a technique by which images are acquired and reconstructed from a relatively fewer measurements than what the Nyquist rate suggests. Compressive sensing is applicable when the signals under consideration are sparse, and most of the images are sparse in wavelet or frequency domain. In this paper, the mathematical formulation of compressive sensing is explained where in various notations and parameters like measurement matrices and sparsity-inducing matrices are dealt in detail. A deterministic measurement matrix, known as chess measurement matrix is implemented in an aperture assembly. Several reconstruction algorithms are analysed and the images reconstructed with PSNR plotted for every case. Based upon the results, it is proved that OMP is the efficient reconstruction algorithm among all. © 2014 IEEE More »»

2014

Conference Paper

S. Sreelakshmi, Ashitha, P. S., Pradeep, A., and Gandhiraj R., “Measurement of radiation pattern of Quadrifilar Helix Antenna (QHA) using GNU Radio”, in Proceeding of the IEEE International Conference on Green Computing, Communication and Electrical Engineering, ICGCCEE 2014, https://www.scopus.com/record/display.uri?eid=2-s2.0-84910684606&origin=inward&txGid=0, 2014.[Abstract]


Communication experiments in conventional lab set-up require more hardware compared to softwares which increases the hardware complexity. This problem can be solved by using Universal Software Radio Peripheral (USRP-2) and open source software GNU Radio. This paper proposes a novel method to investigate radiation pattern measurements such as Half Power Beam Width (HPBW) and Front-to-back ratio of Quadrifilar Helix Antenna (QHA) using USRP-2 and GNU Radio. The Quadrifilar Helix Antenna is a simple and inexpensive equipment used for non-geosynchronous satellite research. This antenna is unique in its simplicity of design and powerful performance compared with standard directional receivers. © 2014 IEEE. More »»

2014

Conference Paper

T. Ajitha, Joy, E., Anishjoyce, A., and Gandhiraj R., “Radiation pattern measurement of log-periodic antenna on GNU Radio platform”, in Proceeding of the IEEE International Conference on Green Computing, Communication and Electrical Engineering, ICGCCEE 2014, Coimbatore; India, 2014.[Abstract]


Current laboratory setup for performing radiation pattern measurement of any antenna is composed of signal generators and a spectrum analyzer. The cost of these equipment increases substantially with the demand of precision in the output. In this paper, the radiation pattern measurement of a log-periodic antenna is done on a new platform, consists of GNU Radio Companion (GRC) and Universal Software Radio Peripheral (USRP). This forms a simple way of performing the radiation pattern measurement at low cost, compared to the conventional methods. © 2014 IEEE. More »»

2014

Conference Paper

R. Danymol, Ajitha, T., and Gandhiraj R., “Real-time communication system design using RTL-SDR and Raspberry Pi”, in ICACCS 2013 - Proceedings of the 2013 International Conference on Advanced Computing and Communication Systems: Bringing to the Table, Futuristic Technologies from Around the Globe, Sri Eshwar College of Engineering' CampusCoimbatore, 2014.[Abstract]


RTL-2832U USB receiver - Raspberry Pi setup receives and decodes the FM signals and sends to another computer across the Local Area Network. It can be realized by means of SDR-Sharp software in remote PC; hence it can be used for communication. Raspberry Pi is a low cost, credit-card sized computer. Whereas RTL-2832U USB receiver has a mode where it dumps raw IQ samples over USB to the computer. The GNU Radio experiments supports this relatively cheap USB receiver as a software defined radio. Using GNU Radio Companion, all real-time communication experiments can be reproduced. © 2013 IEEE. More »»

2014

Conference Paper

S. Archana, Kumari, P. R. Sugatha, Vishakh, A., Gandhiraj R., and K. P. Soman, “Low Cost RADAR design using GNU Radio”, in International Conference on Signal and Speech Processing (ICSSP 2014), TKM College of Engineering, Kollam,Kerala, India, 2014.

2014

Conference Paper

S. Gayathri and Gandhiraj R., “Analysis of ECG Signal Compression with Compressed Sensing Method”, in International Conference on Advance Engineering & Technology (ICAET), Bengaluru, 2014.

2014

Conference Paper

M. Sreethivya, Dhanya, M. G., Nimisha, C., Gandhiraj R., and Dr. Soman K. P., “Radiation Pattern of Yagi-Uda antenna using GNU Radio Platform”, in International Conference on Trends in Technology for Convergence (TITCON '14), AVS Engineering College, Salem, 2014.

2014

Conference Paper

D. Rajendra D. Kumar, Ambika, P. S., Anju, S., Gandhiraj R., and Dr. Soman K. P., “Simultaneous Access of RF Front End from more clients using GNU Radio for Low Cost Platform”, in International Confernece on Recent Trends in Engineering and Technology (ICRTET-2014), CSI Institue of Technolgy, Kanyakumari, 2014.

2014

Conference Paper

R. Karthieswari, Sreethivya, M., and Gandhiraj R., “MIMO system based on Open Source Software Defined Radio Tool”, in National Conference on Innovations in Information and Communication Technologies for Rural Development (NCICT 2014), Department of ECE, Sri Krishna College of Technology, 2014.

2013

Conference Paper

N. Prasannan, Xavier, G., Manikkoth, A., Gandhiraj R., Peter, R., and Dr. Soman K. P., “OpenBTS based microtelecom model: A socio-economic boon to rural communities”, in Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013, Kerala, 2013, pp. 856-861.[Abstract]


This paper proposes a low cost, low power, reconfigurable and flexible Open BTS (Base Transceiver Station) model based on SDR (Software Defined Radio) using USRP. A microtelecom model serves people at the "bottom of the pyramid" along with ensuring the ROI (Return on Investment) for MNO's (Mobile Network Operators). Thus a new telecom revolution that clubs Microtelecom business model with Open BTS concept would positively affect the socio-economic progress of rural communities, thereby ensuring the overall growth of developing nations. The success of a proposed model of this kind would encourage government to take initiatives and confidently invest on policies that would benefit the low-waged and less-privileged rural communities. © 2013 IEEE.

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2012

Conference Paper

M. Abirami, Manikkoth, A., Sruthi, M. B., Gandhiraj R., and K. P. Soman, “Low Cost Digital transceiver design for Software Defined Radiio using RTL-SDR (Design Idea)”, in IBM Collaborative Academia Research Exchange (I-CARE 2012), IISc Bangalore, 2012.

2010

Conference Paper

N. Preetha Va R., Gandhiraj R., and Soman K.P., “Wavelet based Modulation Detection techniques for Cognitive Environment: A Review”, in International Conference on Modelling Control, Automation and Communication (ICMCAC 2010), Velammal Engineering College, Chennai, 2010.

2010

Conference Paper

Abinav, Anil kumar, Naveena Karthika, Pratibha, Ronsen, Gandhiraj R., and Soman K.P., “SVM based Classification of Digitally Modulated Signals for Software Defined Radio”, in International Conference on Embedded Systems 2010, Coimbatore Institute of Technology, Coimbatore, 2010.

2010

Conference Paper

Prasad Silpa.S., Gandhiraj R., and .P.Soman, K., “Efficient Spectral estimation with Slepian tapers in Cognitive environment: A review”, in Second National conference on Recent Trends in Communication, Computation and Signal Processing, Department of ECE, Amrita School of Engineering, 2010.

2010

Conference Paper

Abinav, Anil kumar, Naveena Karthika, Pratibha, Ronsen, Gandhiraj R., and .P.Soman, K., “Detection and classification of signals to configure Software Defined Radio”, in Second National conference on Recent Trends in Communication, Computation and Signal Processing, Department of ECE, Amrita School of Engineering, Coimbatore, 2010.

2010

Conference Paper

Silpa S. Prasad, Gandhiraj R., and Soman, K. P., “Cognitive radio as a background for spectrum sensing- a review”, in National conference on recent innovation in technology 2010 (NCRIT 2010), (Govt. Engineering College), Kottayam, Kerala, 2010.

2009

Conference Paper

Nandan Naveen, G.Nair Sooraj, Sukumaran Sandeep, Mathew Prijo, Nandagopal, and Gandhiraj R., “Digital Radio Design using Digital Signal Processor”, in National Conference on Recent Trends in Communication and Signal Processing 09, Department of ECE, Amrita Vishwa Vidyapeetham, Coimbatore, 2009.

2008

Conference Paper

M. Cecilia S. and Gandhiraj R., “Robust Feature Extraction based on Sub-band Spectral Centroid Histograms”, in National Conference on Communication, Information and Telematics - CITEL 2008, Kumaraguru College of Technology, Coimbatore, 2008.

2007

Conference Paper

Gandhiraj R. and P.S. Sathidevi, “Auditory-based wavelet packet filterbank for speech recognition using neural network”, in Proceedings of the 15th International Conference on Advanced Computing and Communications, ADCOM 2007, Guwahati, 2007, pp. 666-671.[Abstract]


A major problem of most speech recognition systems is their unsatisfactory robustness in noise. Human inner ear based 'feature extraction ' leads to very robust speech understanding in noise. This 'Model of Auditory Periphery' is acting as front-end model of this speech recognition process. This paper describes two quantitative models for signal processing in auditory system (i) Gamma Tone Filter Bank (GTFB) and (U) Wavelet Packet (WP) as frontends for robust speech recognition. The auditory feature vectors had been used to train neural network. The classification of the feature vectors was done by the neural network using Back Propagation (BP) algorithm. The system performance was measured by recognition rate with various signal-tonoise ratios over -10 to 10 dB. The proposed system's performance was compared with various types of front-ends and recognition methods such as auditory features with Hidden Markov Model (HMM) & Layered Neural Network (LRNN), auditory features with Mel Frequency Cepstral Coefficient (MFCC) & LRNN and vocal tract model: MFCC & HMM, Dynamic time warping (DTW). The performances of proposed models with gamma tone filter bank and wavelet packet as front-ends were also compared. It had been identified that proposed system with wavelet packet as front-end and Back Propagation Neural Network (BPNN) as the recognition method is having good recognition rate over -10 to 10 dB. Both speaker independent and speaker dependent recognition systems had been designed, implemented and tested. © 2007 IEEE. More »»

2007

Conference Paper

S.Kousalya Devi, P.Senthil Amirtham, and Gandhiraj R., “Syntax-based Embedded System Design”, in International Conference on Advanced Communication Systems (ICACS-2007), Government College of Technology Coimbatore, India, 2007.

2005

Conference Paper

Gandhiraj R. and .S.Sathidevi, P., “Auditory Feature Extraction for Speech Recognition”, in National Conference on Signals, Systems and Communication (NCSSC-2005), Anna University, Tamil Nadu, India, 2005.

Publication Type: Book Chapter

Year of Publication Publication Type Title

2016

Book Chapter

N. Sara Mathai and Gandhiraj R., “Performance Improvement of Compressed Sensing Reconstruction Using Modified-AMP Algorithm”, in Artificial Intelligence and Evolutionary Computations in Engineering Systems, vol. 394, Springer, 2016, pp. 471–480.[Abstract]


Compressed sensing (CS) is an emerging field which enables the undersampling of sparse signals rather than at the Nyquist rate. But the main computational challenge involved is in the reconstruction process as it is nonlinear in nature and the solution is obtained by solving a set of under determined linear equations. Greedy algorithms offer the solution to these kinds of problems with less computational complexity than the convex relaxations or linear programming methods. The approximate message passing algorithm offers accurate reconstruction of even the approximately sparse signals with reasonable computational intensity. In this paper, we have implemented a modified version of AMP algorithm and obtained a 50 % reduction in mean squared error and an improvement in signal-to-noise ratio More »»

2016

Book Chapter

S. Gayathri and Gandhiraj R., “Implementation of Mixed Signal Architecture for Compressed Sensing on ECG Signal”, in Intelligent Systems Technologies and Applications, Springer, 2016, pp. 43–57.[Abstract]


Persistent health monitoring is the key feature in present day wearable health monitoring system. The focus is on reducing the power consumption associated with transmission of large data content by reducing the bandwidth required. Signals sampled wastefully at Nyquist rate increases power dissipation drastically when RF Power amplifier (inside the body area networks of wearable device) transmits sensed data to personal base station. Compressed Sensing (CS) is an emerging technique that condenses the information in the signal into a lower dimensional information preserving domain before sampling process. CS facilitates data acquisition at sub-Nyquist frequencies. The original signal is reconstructed from the compressively sampled signal by solving an undetermined system of linear equations. In this paper a scalable hardware for CS in ECG signal is modeled. The factors determining the quality of reconstruction of a Compressively Sampled ECG signal is studied in both time and wavelet domain using the modeled hardware. More »»

2015

Book Chapter

Reshma U., Bharathi Ganesh H. B., Jyothi J., Gandhiraj R., and Soman K. P., “Wavelet Based RTL-SDR Real Time Signal Denoising in GNU Radio”, in 3rd International Conference on Advanced Computing, Networking, and Informatics -ICACNI - 2015 , School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT University), Orissa, India: , 2015.

Publication Type: Journal Article

Year of Publication Publication Type Title

2016

Journal Article

U. Reshma, Ganesh, H. B. Barathi, Jyothi, J., Gandhiraj R., and Soman, K. P., “Wavelet based RTL-SDR real time signal Denoising in GNU radio”, Smart Innovation, Systems and Technologies, vol. 43, pp. 397-408, 2016.[Abstract]


Noise removal is considered to be an efficacious step in processing any kind of data. Here the proposed model deals with removal of noise from aperiodic and piecewise constant signals by utilizing wavelet transform, which is being realized in GNU Radio platform. We have also dealt with the replacement of Universal Software Radio Peripheral with RTL-SDR for a low cost Radio Frequency Receiver system without any compromise in its efficiency. Wavelet analyzes noise level separately at each wavelet scale in time-scale domain and adapts the denoising algorithm especially for aperiodic and piecewise constant signals. GNU Radio companion serves well in analysis and synthesis of real time signals. © Springer India 2016. More »»

2015

Journal Article

S. Santhosh, Arunselvan, S. J., Aazam, S. H., Gandhiraj R., and Soman, K. P., “Performance analysis of microstrip antenna using GNU radio with USRP N210”, Smart Innovation, Systems and Technologies, vol. 33, pp. 239-249, 2015.[Abstract]


Radiation pattern and power spectrum measurements become inevitable while analysing performance of an antenna. Current test bench for these measurements are considerably costly. In this paper, the performance of microstrip antenna is evaluated using GNU (GNU is Not Unix) Radio companion (GRC) and Universal Software Radio Peripheral (USRP). The radiation pattern obtained is used in the measurement of Half Power Beam Width and Front to Back Ratio of the antenna. In addition to these measurements, received signal power is also calculated using the Frobenius norm method. Finally, the economic advantage of the proposed method is compared with conventional measurements. © Springer India 2015. More »»

2015

Journal Article

S. Sabarinath, Shyam, R., Aneesh, C., Gandhiraj R., and Soman, K. P., “Accelerated FFT computation for GNU radio using GPU of raspberry Pi”, Smart Innovation, Systems and Technologies, vol. 32, pp. 657-664, 2015.[Abstract]


This paper presents the effective exploitation of Graphical Processing Unit (GPU) in Raspberry Pi for fast Fourier transform (FFT) computation. Very fast computation of FFT is found useful in computer vision based navigation system, Global Positioning System (GPS), HAM radio and on Raspberry Pi. A comparison is performed over the speed of FFT computation on BCM2835 GPU with that of 700 MHz ARM processor available in Raspberry Pi and also with intel-COREi5 processors. The FFT is computed for any one dimensional input signal and its analysis is done on different processors with varying signal lengths. The GNU radio is installed on Raspberry Pi, and the FFT computation done on GNU radio is accelerated using GPU of Raspberry Pi. Even though the Raspberry Pi GPU is primarily built for video enhancement, the parallel computational ability of GPU is utilized in this paper for accelerated FFT computation. © Springer India 2015. More »»

2015

Journal Article

N. Sara Mathai and Gandhiraj R., “Performance Improvement of Compressed Sensing Reconstruction using Modified-AMP algorithm”, 1st International Conference on Power, Circuit and Information Technologies (ICPCIT-2015), 2015.

2014

Journal Article

Gandhiraj R. and Dr. Soman K. P., “Modern analog and digital communication systems development using GNU Radio with USRP”, Telecommunication Systems, vol. 56, pp. 367-381, 2014.[Abstract]


In this modern world many communication devices are highly intelligent and interconnected between each other. Any up-gradation of the hardware in the existing communication devices is not easier one. Compatibility of the new hardware with existing hardware is highly essential. But the new protocols may or may not support the older one. The solution for these problems can be provided by using the reconfigurable hardware design. The hardware can be reprogrammed according to the new change in technology up-gradation. The cost of commercially available hardware and software requirements for setting up such a module is very high. This can be solved by using Open source hardware and software such as Universal Software Radio Peripheral (USRP) and GNU Radio. This work demonstrates how the modern analog communication system like Community Radio Schemes and Radio Data System (RDS) and digital communication systems such as Simple Digital Video Broadcasting (DVB) and OFDM based data communication can be developed using the Open source hardware USRP1. This work will be helpful even for first year level of engineering students to easily implement any communication and control applications with cheaper cost. © 2013 Springer Science+Business Media New York. More »»

2013

Journal Article

Gandhiraj R. and Dr. Soman K. P., “Modern analog and digital communication systems development using GNU Radio with USRP”, Telecommunication Systems, pp. 1-15, 2013.[Abstract]


In this modern world many communication devices are highly intelligent and interconnected between each other. Any up-gradation of the hardware in the existing communication devices is not easier one. Compatibility of the new hardware with existing hardware is highly essential. But the new protocols may or may not support the older one. The solution for these problems can be provided by using the reconfigurable hardware design. The hardware can be reprogrammed according to the new change in technology up-gradation. The cost of commercially available hardware and software requirements for setting up such a module is very high. This can be solved by using Open source hardware and software such as Universal Software Radio Peripheral (USRP) and GNU Radio. This work demonstrates how the modern analog communication system like Community Radio Schemes and Radio Data System (RDS) and digital communication systems such as Simple Digital Video Broadcasting (DVB) and OFDM based data communication can be developed using the Open source hardware USRP1. This work will be helpful even for first year level of engineering students to easily implement any communication and control applications with cheaper cost. © 2013 Springer Science+Business Media New York.

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2013

Journal Article

Abirami M, Gandhiraj R., and Soman K P, “Performance analysis of Real time of DM based communication system using GNU Radio and USRP”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), vol. 3, no. 6, 2013.[Abstract]


In the vast repertoire of communication, the role of OFDM has its own vital importance. In particular, OFDM has been shown as the most effective technique in the field of wireless communication. There have been many platforms such as FPGA, MATLAB etc. in the field to showcase the working and performance of OFDM. In this work, the recently emerging platform- Open source GNU Radio is used to limelight the importance of OFDM communication system. A flexible, cost-effective and reprogrammable hardware such as USRP (Universal Software Radio Peripheral) is required to do a real-time communication experiment. This paper focuses on a real time implementation of OFDM Communication for different modulation schemes with different wavelet techniques. The novel idea behind this work is to portray the importance of OFDM communication using the FFT bases and wavelet bases with the aid of GNU Radio.

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2013

Journal Article

M. B. Sruthi, Gandhiraj R., and Soman, K. P., “Realization of wireless communication system in SDR using GNU radio”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), vol. 3, no. 6, 2013.

2012

Journal Article

N. Prasannan, Manikkoth, A., Gandhiraj R., and K.P., S., “Internet of Things through Motes”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), vol. 3, no. 6, 2012.[Abstract]


In this hectic life schedule of mankind, finding time to refresh has turned out to be an infeasible task. But it is vital for maintaining our productivity, not just in professional life but also in social life. Gardening is surely a leisure time activity which involves both the physical and psychological aspects. On the other hand, it shows justice to our environmental obligation of keeping the planet green. However the practice of gardening needs some sincere investment of our time and care. But we may not always be available to our garden. In this paper we present a smart low cost wireless digital gardening technique. The technique uses an automated system which intimates us about the whole related parameters for keeping our garden nourished. This paper also describes the integration of WSNs with IOT technology and also determining a yield factor which can be used for increasing productivity in similar environments. We can also monitor the soil moisture, temperature, light, pH, and water level through a web interface from any remote location. Thus we can have control over our garden even without being physically present. This spares us from all worries regarding gardening and water scarcity. This paper describes the hardware and software architecture of a fully automated gardening system, which uses motes for data acquisition, aggregation and communication. The paper also discusses the detailed implementation of the system supported by both hardware and software description. Finally, the paper concludes with the performance analysis of system with the previously existing gardening system.

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2012

Journal Article

Shravan Sriram, Gunturi Srivasta, Gandhiraj R., and Soman, K. P., “Plug-ins for GNU Radio Companion”, International Journal of Computer Applications, vol. 52, pp. 11–16, 2012.[Abstract]


This paper gives an insight on how to develop plug-ins (signal processing blocks) for GNU Radio Companion. GRC is on the monitoring computer and does bulk of the signal processing before transmission and after reception. The coding done in order to develop any block is discussed. A block that performs Huffman coding has been built. Huffman coding is a coding technique that gives a prefix code. A block that performs convolution coding at any desired rate using any generator polynomial has also been built. Both Huffman and Convolution coding are done on data stored in file sources by these blocks. This paper thus describes the ease of signal processing that can be attained by developing blocks in demand by changing the C++ and PYTHON codes of the HOWTO package. Being an open source it is available to all, is highly cost effective and is a field with great potential.

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2012

Journal Article

P. Avinash, Gandhiraj R., and Soman, K. P., “Spectrum sensing using compressed sensing techniques for sparse multiband signals”, International Journal of Scientific & Engineering Research, vol. 3, no. 5, pp. 1-5, 2012.[Abstract]


Spectrum is scarce and the primary users (licensed users) do not use them always. There are free spaces called spectrum holes. Spectrum is not utilised efficiently in certain bands. A technique which scans the spectrum for the given bandwidth and finds the spectrum holes so that secondary users can use them, was proposed. But for high bandwidths the sampling rates are high such that practical Analog to Digital Converters cannot achieve. Compressed sensing techniques sample at rate less than the Nyquist rate and still are able to reconstruct the original signal except that the signal should be sparse in some domain. So spectrum sensing using compressed sensing methods were proposed and found to be more efficient.

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2011

Journal Article

S. S. Prasad, Gandhiraj R., and Dr. Soman K. P., “Multi-User Spectrum Sensing based on Multi-Taper Method for Cognitive Environments”, International Journal of Computer Applications (IJCA), vol. 22, no. 9, pp. 2613–1093, 2011.[Abstract]


This paper gives a brief but comprehensive review of the Multitaper spectrum estimation method that uses the data tapers or windows in digital signal processing. Instead of using a single kind of window functions, here a cluster of window functions are mentioned, which is known as Slepian tapers. This taper family minimize leakage also, and computing them requires solving eigenvalue problems that are large for long time series. However, the eigenvalue problems have a special structure that makes a fast algorithm possible.Secondly, the enabling of the algorithmic method with Cognitive Radio (CR) Technology, More »»

Publication Type: Conference Proceedings

Year of Publication Publication Type Title

2015

Conference Proceedings

C. Aswathy, Sowmya V., Gandhiraj R., and Soman, K. P., “Hyperspectral image denoising using legendre Fenchel Transformation for improved Multinomial Logistic Regression based classification”, 4th IEEE International Conference on Communications and Signal Processing (ICCSP), 2015 . IEEE, Adhiparasakthi Engineering College , Melmaruvathur, pp. 1670 - 1674, 2015.[Abstract]


The abundant spectral and spatial information in the hyperspectral images (HSI) are largely used in the field of remote sensing. Though there are highly sophisticated sensors to capture the hyperspectral imagery, they suffer from issues like hyperspectral noise and spectral mixing. The major challenges encountered in this field, demands the use of preprocessing techniques prior to hyperspectral image analysis. In this paper, we discuss the effective role of denoising by Legendre Fenchel Transformation (LFT) as a preprocessing method to improve the classification accuracy. Experimental time analysis shows that the computational efficiency of the proposed method is highly effective when compared with the existing preprocessing methods. LFT is based on the concept of duality which makes it a fast and reliable denoising strategy to effectively reduce the noise present in each band of the hyperspectral imagery, without losing much of the edge information. The denoising is performed on standard AVIRIS Indian Pines dataset. The performance of LFT denoising is evaluated by analysing the classification accuracy assessment measures. The denoised image is subjected to hyperspectral image classification using Multinomial Logistic Regression which learns the posterior probability distributions of each class. The potential of the proposed method is proved by the mean classification accuracy obtained experimentally without any post processing technique (94.4%), which is better when compared with the accuracies acquired by existing preprocessing techniques like Total Variation denoising and wavelet based denoising.

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2013

Conference Proceedings

M. B. Sruthi, Abirami, M., Manikkoth, A., Gandhiraj R., and Dr. Soman K. P., “Low cost digital transceiver design for software defined radio using RTL-SDR”, Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. Kerala, pp. 852-855, 2013.[Abstract]


The field of wireless communication has become the hottest area and Software Defined Radio (SDR) is revolutionizing it. By bringing much functionality as software, SDR reduces the cost of hardware maintenance and up-gradation. Open source hardware such as USRP (Universal Software Radio Peripheral) and software called GNU Radio-Companion are commonly used to do experiments in SDR. Since the cost of USRP is high, a low cost set up is needed which is affordable by the student community. In this paper a low cost alternative to USRP is proposed using RTL-SDR (Realtek Software Defined Radio) which is only used for reception. For transmitting purpose, a mixer circuit can be used to map the baseband signal to the band that can be received by RTL-SDR on the other end on Linux / Windows platform. Initially, the experiment is done in simulation. After that, it is tested with low cost hardware such as mixer and RTL-SDR. The cost for total transceiver system can be less than USD 100 which is 10 times less than the existing one. © 2013 IEEE.

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2012

Conference Proceedings

H. Aravind, Gandhiraj R., Dr. Soman K. P., Manikandan, M. S., and Peter, R., “Spectrum sensing implementations for software defined radio in simulink”, Procedia Engineering, vol. 30. Coimbatore, pp. 1119-1128, 2012.[Abstract]


The lack of spectrum for communication and for research is a bottleneck as far as technology and business development is considered. It is a fact that the availability of useful spectrum is limited by hardware constraints. The studies conducted by the Federal Communications Commission found that that there are many areas of the radio spectrum which are not fully utilized in different geographical areas of the country and FCC recommended locating and utilizing these unused spectrum spaces by other users. This is where spectrum sensing comes into use. From then on different spectrum sensing algorithms were developed. The paper implements four of those major sensing spectrum algorithms in MATLAB-Simulink and also does a performance comparison among them.

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2012

Conference Proceedings

Gandhiraj R., Ram, R., and Dr. Soman K. P., “Analog and digital modulation toolkit for software defined radio”, Procedia Engineering, vol. 30. Coimbatore, pp. 1155-1162, 2012.[Abstract]


This work is a small tutorial for the new users in the field of software defined radio. Applications are build up using graphical user interface called the GNU radio companion (GRC). The idea behind developing such a tool kit is to give practical exposure in the communication concepts like basic signal generations, signal operations, multi-rate concepts, analog and digital modulation schemes and finally multiplexing schemes with the help of GNU radio. Unlike MATLAB Simulink or Labview GNU radio is open source i.e. free of cost and the concepts can be easily reached to the normal people without much of programming concepts using the pre written blocks. And programmers also have the chance to write their own applications.

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WORKSHOP CO-ORDINATION

  • One day Workshop on "Software Defined Radio and its Applications", 20 July 2016, in CEN, Amrita School of Engineering, Coimbatore.
  • "Sixth National Workshop on Software Defined Radio and its Strategic Applications", on 21-22, January 2016, Amrita School of Engineering, Coimbatore. [Web Link]
  • "Fifth National Workshop on Software Defined Radio (SDR) for Realtime Communication and Signal Processing" as part of ANOKHA 2014, Amrita School of Engineering, Coimbatore.
  • "Fifth National Workshop on Software Defined Radio (SDR) for Realtime Communication and Signal Processing" as part of ANOKHA 2014, Amrita School of Engineering, Coimbatore
  • "Fourth National Workshop on Software Defined Radio (SDR) for Realtime Communication and Signal Processing", 27 Feb 2014, at Amrita Viswha Vidyapeetham, Coimbatore.
  • "Third National Workshop on Software Defined Radio (SDR) for Realtime Communication and Signal Processing", 26-28 July 2013, at Amrita Viswha Vidyapeetham, Coimbatore.
  • "Second National Workshop on Software Defined Radio (SDR) for Realtime Communication and Signal Processing", 11 August 2012, orgnaised at Rajagiri School of Engineering and Technology, Cochin, Kerala.
  • "First National Workshop on Software Defined Radio (SDR) for Realtime Communication and Signal Processing", Supported by MHRD under NMEICT Scheme, March 17 -18, 2012, at Amrita Viswha Vidyapeetham, Coimbatore.

PROJECTS GUIDANCE

YEAR PROJECTS
2016 - 2017 Time synchronisation in MIMO based SatCom using Software Defined Radio (M.Tech CSP Thesis) - Mr. Niranjan Acharya
Design and prameters measurement of Tin-Can antenna using Software Defined Radio (B.Tech) - Mr. Madhavan & Team
2015 - 2016 Emulation of MIMO SATCOM system using Software Defined Radio (M.Tech CSP Thesis) - Ms.Suganya M.
ADMM based sparse signal reconstruction - VLSI realization (M.Tech VLSI Thesis) - Ms. Surya Subramaniyan
Classification of EMI signatures for Smart Grid by Software Defined Radio - (B.Tech) - Ms. Prathija R. and team.
2014 - 2015 Performance Improvement of Compressed Sensing Reconstruction Using Modified-AMP Algorithm (M.Tech Thesis)
Performance analysis of Blind Carrier Phase Estimators for General QAM.(B.Tech)
2013 - 2014 Implementation of Mixed Signal Architecture for Compressed Sensing On ECG Signal (M.Tech Thesis)
Implementation of Blind-OFDM on USRP platform for Cognitive Radio Network (M.Tech Thesis)
Hyper-spectral Image denoising by Legendre-Fenchel Transformation and Classification (M.Tech Thesis)
Lens-less Imaging by Compressive Sensing (B.Tech)
Implementation of Through-wall Motion Detection using Beam forming (B.Tech)
2012 - 2013 Design and Implementation of OFDM based Communication System in GNU Radio Platform (M.Tech Thesis)
Design and Implementation of MIMO based Communication System in GNU Radio Platform (M.Tech Thesis)
Digital Gardening using Mote based Wireless Sensor Network (M.Tech Thesis)
Linear Equation Solver using Improved Cholesky Decomposition on FPGA for Compressed Sensing Applications (B.Tech Project)
2011 - 2012 Spectrum Sensing using Compressed Sensing Techniques for Sparse Multiband Signals(B.Tech Project)
2010 - 2011 Spectrum Sensing Implementations using Simulink (M.Tech Thesis)
Analog and Digital Modulations toolkit for Software Defined Radio (M.Tech Thesis)
2009 - 2010 SVM based Classification of Digitally Modulated Signals for Software Defined Radio (B.Tech Project)
2008 - 2009 Multi-User Spectrum Sensing Based on Multi-taper Method for Cognitive Environments (M.Tech Thesis)
Digital Radio design using Digital Signal Processing (B.Tech Project)
2007 - 2008 Robust Speech Recognition in Noisy Environments based on sub band spectral Centroid Histogram. (M.E Thesis)
OFDM based High data rate Signals in Space. (B.Tech Project)
2006 - 2007 Speech Separation using Excitation Source Model (B.E Project)
Speech Recognition using Neural Network (B.E Project)
2003 - 2004 Digital Image Processing based Debris Detection system (B.E Project)
Highway Accident Identification (B.E Project)
2002 - 2003 Java Enabled Home appliance control through Intranet (B.E Project)
2001 - 2002 8 Bit RISC Processor Design using VHDL (B.E Project)
2000 - 2001 CPU Design Using VHDL (B.E Project)

INVITED LECTURES

  • Topic 1: "Signal Processing and Communication Foundations for Software Defined Radio Development",
    Topic 2: "Software Defined Radio Development– Architecture and Tools",
    Topic 3: "Lab @ Home : A Paradigm shift in Communication and Signal Processing research and Academics by Software Defined Radio", GIAN (Global Initiative of Academic Networks) Program on Key Enabling Technologies for 5G Wireless Networks Department of Electronics & Communication Engineering, National Institute of Technology Calicut, Kerala, India, December 10, 2017.
  • Topic: "Fourier & Wavelet Transforms applications in Communication & Signal Processing domain using Software Defined Radio", in AICTE Sponsored QIP- Short Term Course on “Transforms and their Applications in Engineering -15.11.2017 to 21.11.2017", by Department of Mathematics, Coimbatore Institute of Technology, Coimbatore, India, November 21, 2017.
  • Topic: "Applications of DSP using Software Defined Radio", Department of ECE, Karpagam Institute of Technology, Coimbatore, India, September 23, 2017.
  • Topic: "SDR: Convergence of Signal Processing and Communications for Education and Research", Department of ECE, Sri Eshwar College of Engineering, Coimbatore, India, 28 Aug 2017.
  • Topic: "Software Defined Radio: Convergence of Signal Processing and Communication", One Day Seminar on Computational Modelling and Simulation of Signal Processing in  Communication Network, organized by Department of ECE, Nehru Institute of Technology, Coimbatore, August 14, 2014.
  • Topic: "Software Defined Networking : FPGA platforms", Two days workshop on Software Defined Networks & NetFPGA, organized by Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, 9-10 June 2014. [Web link]
  • Topic: "SDR: Convergence of Signal Processing and Communication", for Department of ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangaluru, 4th April 2013.
  • Topic: "Software Defined Radio: A New Paradigm in Communication", National Seminar on Evolution to Innovations in Electronics-2014, Department of Electronics, CMS College of Science and Commerce, Coimbatore, 3rd Feb 2014.
  • Topic: "Cognitive Radio: Fundamentals, Applications & Challenges", DRDO Sponsored Seminar on Research Focus on Challenges and Issues in Self-Organized Military Communication for Battle Field Scenario, by Department of ECE, Kongu Engineering College, Perundurai, Tamil Nadu, India, 19 December 2013.
  • Topic: "Advancement in Wireless Communication : A Signal Processing Perspective", AICTE sponsored Faculty Development Programme on Emerging Trends in Wireless Communication (15 Nov 2013 to 28 Nov 2013), by Department of ECE, Vivekanandha College of Engineering for Women, Sankari West, Tamil Nadu, 23 November 2013.
  • Topic: "Software Defined Radio", AICTE sponsored two week Faculty Development Programme on "Advancements in Cognitive Green Communications and Robotics Systems" (18 - 31 Oct 2013), by Dept. of ECE, Erode Sengunthar Engineering College, Perundurai, Tamil Nadu, 25 October 2013.
  • Topic: "Wireless Sensor Networks Architecture and applications", AICTE sponsored National Level Seminar on Wireless Sensor Networks for Surveillance of Nuclear Radiation", organised by Dept. of MCA, K S R College of Technology, Thiruchengode, Tamil Nadu, 05 October 2013.
  • Topic: "Raspberry Pi based Communication System", Workshop on Embedded Computing and Wireless Communication Experiments with Arduino and Raspberry-PI, organised by CEN, Amrita Vishwa Vidyapeetham, Coimbatore, 10-11 August 2013.
  • Topic: "Applications of Software Defined Radio : GNU Radio Perspective", Third National Level Workshop on Software Defined Radio for Real time communication and Signal Processing, Organised by CEN & ECE, Amrita Vishwa Vidyapeetham, Coimbatore. 26-28 July, 2013.
  • Topic: "Software Defined Radio : Architectures", Third National Level Workshop on Software Defined Radio for Real time communication and Signal Processing, Organised by CEN & ECE, Amrita Vishwa Vidyapeetham, Coimbatore. 26-28 July, 2013.
  • Topic: "Analog & Digital Communication System: Lab @ Home", Third National Level Workshop on Software Defined Radio for Real time communication and Signal Processing, Organised by CEN & ECE, Amrita Vishwa Vidyapeetham, Coimbatore. 26-28 July, 2013.
  • Topic: "Advanced Communication System and Signal Processing through Fundamentals", Faculty Development Programme, by ECE Department, Nehru Institute of Technology & Nehru Institute of Engineering and Technology, Coimbatore, 29 June 2013.
  • Topic: "Wireless Sensor Network Architecture and Applications", AICTE sponsored Staff Development Programme on “Applications of Wireless Sensor Network in Industry and Consumer Electronics" (from 03.06.13 to 15.06.13), by Department of ECE, K S R College of Engineering, Thiruchengode, Tamil Nadu, 08 June 2013.
  • Topic: "Communication System A Compressed Sensing Perspective", Sparse Image and Signal Processing Workshop 2013, organised by Center for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, 4 June 2013.
  • Topic: "Low Cost Communication System Design using Raspberry Pi, GNU Radio & USRP", DRDO sponsored 3 Days seminar on Software Define Radio, Rajagiri School of Engineering and Technology, Cochin, 16 May 2013,
  • Topic: "Advanced Research Topic through Fundamentals : SDR", DRDO sponsored one day seminar on "Research Focus on Next Generation Wireless Networks", by Dept. of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, 18 December 2012.
  • Topic: "Software Defined Radio: Future Radio", Second National Workshop on Software Defined Radio (SDR) for Realtime Communication and Signal Processing, 11 August 2012, organised at Rajagiri School of Engineering and Technology, Cochin, Kerala.
  • Topic: "Analog & Digital Communication System : A simplified View", First National Workshop on Software Defined Radio for Real time communication and Signal Processing, Organised by CEN & ECE, Amrita Vishwa Vidyapeetham, 17-18 March, 2012.

ACADEMICS

  • 2017 - 2018 Even Sem
    16ECE311 - Computer Communication and Networks, 6 Sem B.Tech, ECE A
    16RW601 - Wireless Sensor Networks - 2 Sem MTech RSW
    15ECE385 - Digital Communication Lab, 6 Sem, B.Tech, ECE A, B, Section (3 Sessions)
  • 2017 - 2018 Odd Sem
    ECE431 - Information Theory & Coding Techniques - 7 Sem B.Tech ECE B, C Section
    ECE331 - Digital Communication - Run Time Redo Course
  • 2016 - 2017 Even Sem
    ECE331 - Digital Communicaion - 6 Sem B.Tech ECE
    ECE393 - Digital Communication Lab - 6 Sem B.Tech ECE
    16RW601 - Wireless Sensor Networks - 2 Sem MTech RSW
  • 2016 - 2017 Odd Sem
    ECE431 Information Theory and Coding Techniques - 7 Sem B.Tech ECE
    16RW612 Wireless Communications and Software Defined Radio - 1 Sem M.Tech Remote Sensing
    15ECE282 Signal Processing I Lab
    ECE390 Micro-controller Lab
  • 2015 - 2016 Even Sem
    RW611 Wireless Communication and Sensor Networks - 2 Sem M.Tech Remote Sensing
    CE614 Signal Processing II (Adaptive Signal Processing) - 2 Sem M.Tech CSP
    ECE292 Digital Signal Processing Lab - 4 Sem B.Tech ECE
    ECE499 Project
  • 2015 - 2016 Odd Sem
    ECE431 Information Theory and Coding Techniques - 7 Sem B.Tech ECE
    ECE390 Micro-controller Lab - 5 Sem B.Tech ECE
    ECE391 Electronic Circuits - 5 Sem B.Tech ECE
  • 2014 - 2015 Even Sem
    RW611 Wireless Communication & Sensor Networks - 2 Sem M.Tech Remote Sensing
    RW729 Software Defined Radio - 2 Sem M.Tech Remote Sensing
  • 2014 - 2015 Odd Sem
    CN718 Software Defined Networking and Wireless Communication - 3 Sem M.Tech CEN & Remote Sensing
    ECE431 Information Theory and Coding Techniques - 7 Sem B.Tech ECE
    ECE210 Digital System Lab - 3 Sem B.Tech CSE
    EEE180 Workshop - 1 Sem B.Tech Chem
  • 2013 - 2014 Even Sem 
    RW611 Wireless Communication & Sensor Networks - 2 Sem M.Tech Remote Sensing
    CN703 Principles of Communication Engineering - 2 Sem M.Tech CEN
    UG Project Review & DSP Lab 
  • 2013 - 2014 : Odd Sem
    CN718 Software Defined Networking and Wireless Communication 3 Sem M.Tech CEN & Remote Sensing
    ECE445 Wireless Communication - 7 Sem B.Tech ECE 
    ECE 390 Micro controller Lab - 5 Sem B.Tech ECE
  • 2012 - 2013 : Even Sem
    RW611 Wireless Communication & Sensor Networks - 2 Sem M.Tech Remote Sensing
    CN703 Principles of Communication Engineering - 2 Sem M.Tech CEN
  • 2012-2013 : Odd Sem
    EC421 Wireless Communication - 7 Sem B.Tech ECE
    CN715 Software Defined Radio - 3 Sem M.Tech Remote Sensing
     
  • Analog Communication
  • Communication Engineering
  • Adaptive and Optimal Signal Processing
  • Wireless Communication and Coding Techniques
  • Cellular and Mobile Communication 
  • Electronics Engineering 
  • Embedded Systems
  • Communication Theory 
  • Digital Signal Processing 
  • Digital Communication
  • Information Coding Techniques
  • Optical Communication
  • Antennas & Wave propagation
  • Modern Communication Technology
  • Digital Electronics
  • Microprocessors & Micro controllers Applications
  • Electronics & Microprocessors
  • VLSI Design
  • Electronics Circuits I,II
  • Network and Transmission Lines
  • Computer System Architecture I, II
  • Computer Architecture and Parallel Processing – for PG
  • PC Hardware & Software
  • Communication Design Lab
  • Signals and Systems Lab 
  • Embedded Systems Lab
  • Digital Signal Processing Lab
  • Digital Communication Lab
  • Digital Electronics Lab
  • Communication Systems Lab
  • Microprocessors & Micro controllers Lab
  • Linear Integrated Circuits Lab
  • Electron Devices and Circuits Lab 
  • Electronics lab
  • Electrical & Electronics Lab

WORKSHOPS / TRAINING ATTENDED

  • “NSS Program Officer Orientation Training”, organised by Empanelled Training Institution – National Service Scheme (Under the auspices of the Ministry of Youth Affairs and Sports, Government of India), Avinashilingam Institute for Home Science and Higher Education for Women, Deemed to be University, Coimbatore, December 5-11, 2017
  • Two Days "National Level Workshop on Embedded Design Flow using Xilinx Zynq SoC", organized by Dept of  ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore,  27-28 February 2015.
  • Two Days "National Symposium on Green Electronics", organized by Dept of  ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore,  12-13 December 2014.
  • Two Days National Workshop- on "RF/Wireless System Design Solution from Xilinx", organised by Dept. of ECE & Core-EL Bangalore, Sri Ramakrishna Engineering College, Coimbatore, 9-10 October 2014.
  • One Day Research Seminar on "Emerging Perspectives in Nano electronics R&D", organised by Dept of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, September 14, 2014. [Weblink]
  • "Workshop on Space Technology and Sponsored Research by VSSC, ISRO", organized by Head-Engineering Research & Projects, Amrita School of Engineering, Coimbatore, 25 July 2014.
  • "National Workshop on Advanced Signal and Image Processing (ASIP-2014: Focusing Recent Research Topics)", organized by Center for Computational Engineering & Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore, 26-30 June 2014.
  • Workshop on "Research Methods in Educational Technology", conducted by IIT Bombay, 2nd & 9th Feb 2013.
  • Workshop on, "MIMO/OFDM based Advanced 4G Cellular Networks", by Electrical Engineering Department, IIT Kanpur, 11-13 Jan 2013.
  • One day course on “Nano Technology” organized by Dept. of ECE, Amrita School of Engineering, Ettimadai, on 13 Jul 2009.
  • Two day workshop on “Recent Trends in Image Analysis”, organized by Dept. of IT, Amrita School of Engineering, Ettimadai, on 25 – 26 May 2009.
  • Faculty Development Programme on Entrepreneurship “NEN-IIMB-Stanford Entrepreneurship Educators Course (EEC) Module #4” at Indian Institute of Management Bangalore, on 10-12 Nov 2008.
  • Faculty Development Programme on Entrepreneurship “NEN-IIMB-Stanford Entrepreneurship Educators Course (EEC) Module #3” at Indian Institute of Management Bangalore, on 18-20 August 2008.
  • Faculty Development Programme on “Embedded Systems and Digital Signal Processors” at Amrita Vishwa Vidyapeetham, Bangalore Campus, on 30 June 2008 – 4 July 2008.
  • Faculty Development Programme on Entrepreneurship “NEN-IIMB-Stanford Entrepreneurship Educators Course (EEC) Module #2” at Indian Institute of Management Bangalore, on 9-11 January 2008.
  • CII Workshop on “Unleashing the Entrepreneurial Sprit: Focus Coimbatore” on 5.12.2007, at Coimbatore.
  • Faculty Development Programme on Entrepreneurship “NEN-IIMB-Stanford Entrepreneurship Educators Course (EEC) Module #1” at GKD College of Arts and Science, Coimbatore, November 2007
  • National Workshop on "Wireless Communication", organized by B.N.M.I.T & International Institute of Information Technology-Bangalore at Indian Institute of Science, Bangalore, August 17-18, 2007.
  • One day Faculty Induction Programme on Entrepreneurship Development, organized by Confederation of Indian Industry (CII), Coimbatore, 8.8.2007
  • Short Term Course on Wireless Communications & Networks, organized by Indian Institute of Technology Kharagpur, May 14-19, 2007.
  • INAE Workshop on Image and Speech Processing, organized by Indian Institute of Technology Madras, February 2006.
  • Winter School in Speech and Audio Processing (WISSAP 06), organized by Indian Institute of Science, Bangalore, January 2006.
  • Short term Course on ‘System Design using Digital Signal Processor TMS320C6711’, conducted by DOEACC, Calicut.
  • AICTE-ISTE sponsored short-term training program on ‘Tools and Techniques for Peak Load Management’, organized by NIT Calicut.
  • AICTE-ISTE sponsored short-term training program on ‘Power Quality and Custom Power under deregulated Power System’, organized by NIT Calicut.
  • Faculty Development Program in ‘Digital Signal Processing’, organized by Anna University, Chennai.
  • One-Day workshop on ‘Placement Opportunities: HRD-Placement Cell Interface, organized by Karunya Institute of Technology, Coimbatore.
  • One-day workshop on ‘Industry Institute Partnership’ organized by CII, Chennai.
  • Faculty Development Program in ‘Entrepreneurship Development Program’, organized by EDII, Ahmedabad
  • Faculty Development Program in ‘Entrepreneurship Development Program’, organized by ITCOT, Chennai.
  • Faculty Development Program in ‘ Instructional Design and Delivery’ organized by TTTI, Chennai

SERVICE TO THE NATION

  • Inaugural Talk on "Role of Students in Nation Building", Techwings-2K17- Technology Bright Minds, Bright Future, Technical Symposium, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education (Deemed to be University), Coimbatore, September 22, 2017 (Approx. 600 students)
  • Paper presentation on “Siddhars in Tamil Nadu”, Sadgamaya 5119 – Amrita Culture Camp 2017, for all Faculty of Amrita Vishwa Vidyapeetham, Coimbatore Campus, organised by Department of Cultural Education, Amrita Vishwa Vidyapeetham, India, June 29-30, 2017
  • Motivational talk on "Role of Individuals in Nation Building", Coimbatore Zonal Level Student Training Camp, Akhil Bharatiya Vidyarthi Parishad (ABVP), August 9, 2014, (Approx. 40 Participants).
  • Motivational talk on "Role of Individuals in Nation Building", State Level Student Training Camp, Akhil Bharatiya Vidyarthi Parishad (ABVP), June 2013 (Approx. 100 Participants).
  • Motivational talk on “ Independence Day Talk : Role of students in Nation Building”, Coimbatore city +2 toppers in Govt. Hr.Sec.Schools, at Sevashram, R.S.Puram, Coimbatore (50 participants)
  • Motivational talk on “Role of students in Nation Building”, Amrita Vidyalayam Hostel students, (70 participants 9th, 10th students)
  • Lecture on Role of Engineers in Nation Building”, 6 sem EEE A and B Batch (110 students).(2010-even sem)
  • Motivational Talk on “Role of Students in Nation Building” for 8th and 9th Students, Amrita Vidyalayam, Ettimadai, on 20.3.2009
  • Motivational Talk on “Role of Students in Nation Building” for +2 Students, Devangar Higher Sec. School, Aruppukottai, on 4.12.2008. (120 participants).
  • Motivational Talk on “Role of Engineers in Nation Building” for 5th Semester CSE students, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, on 6.11.2008. (80 participants)
  • Motivational Talk on “Role of Individuals in Nation Building” at Amrita Vidyalayam, Nallampalayam, Coimbatore, on 16.09.2008. (70 participants)
  • Motivational Talk on “Role of Students in Nation Building” for Ettimadai Village School Children, Coimbatore, on 16.09.2008. (50 participants)
  • Motivational Talk on “Role of Professionals in Nation Building” for students of Master of Social Works, Amrita Vishwa Vidyapeetham, Coimbatore, on 16.09.2008. (50 participants)
  • Lecture on “Role of Entrepreneurs in Nation Building” for PMRY Scheme students, at Dr.MCET, on 28.2.2008. (45 participants)
  • Lecture on “Role of Engineers in Nation Building” for Pre-final and final year Mechanical Engg. Dept. students, Dr.MCET, on 31.12.2007. (60 Participants)
  • Lecture on “Career Guidance and Communication Skills development and Vision 2020 activates Initiation” for school children, at Subash Vidya Mandir, Pollachi, on 30.11.2007. (25 Participants)
  • Lecture on “Marketing aspects for New Entrepreneurs with case studies” for PMRY at Dr.MCET on 23.10.2007. (40 Participants)
  • Special Lecture on "Engineering Solutions through MATLAB for Mechanical Engineers" and "Design and Simulation of Hydraulic Piston using MATLAB" for Final year Mechanical Engineering students of Dr.Mahalingam Collge of Engg. & Tech., Pollachi, on 11.10.2007.
  • Special Lecture on “Engineering Solutions through MATLAB”, for Pre-final, Final Year students of Dr.Mahalingam College of Engg. & Tech., Pollachi, July 2007
  • Seminar on “Auditory-based Speech Recognition using Neural Network”, All India Institute of Speech and Hearing Institute, Mysore
  • Special Lecture on Entrepreneurship: Open Learning Diploma in Business Entrepreneurship, Oct-2002 to Mar-2003, for enrolled B.E and B.Sc Students.

EVENTS ORGANIZED

  • “Interactive Gaming session on Achievement Motivation” by Mr.M.Ashok , HOS, NPTC, for E-Cell student members for 70 students on 8.2.2008 at Dr.MCET.
  • Special lecture “Good Idea & Bad Idea” given by Mr.Vinod Shastri, NEN Consultant, Pune at Dr.MCET, for 200 students on 4.1.2008.
  • Dr.MCET-CII Entrepreneurship Development Programme: 75 students participated: 5 external speakers from Bangalore, Cochin & Coimbatore: on 13.9.2007 at Dr.Mahalingam College of Engg. & Tech., Pollachi, India.
  • Dr.MCET-EDI Tamil Nadu, Entrepreneurship Awareness Camp for 3 days: 75 students participated, 15 external speakers from Coimbatore & Pollachi: on 2-4 Sep. 2002.

PROFESSIONAL BODY MEMBERSHIP

  • Life Member – IETE (Institute of Electronics and Telecommunications Engineers (M208192))
  • Life Member - ISTE (Indian Society of Technical Education (LM 32273))
  • Internal Auditor of ‘Quality Management System ISO 9001:2000’, certified by Nathan & Nathan Consultants Pvt. Ltd, Bangalore

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    Amrita Vishwa Vidyapeetham
    Amritanagar, Coimbatore - 641 112
    Tamilnadu, India