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Dr. Parvathi A. K.

Assistant Professor, Department of Electronics and communication, School of Engineering, Amritapuri

Qualification: PhD in Signal processing
parvathiak@am.amrita.edu
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Research Interest: Signal processing, multi-rate signal processing

Bio

Parvathi A. K. received her B. Tech degree in Electronics and Communication Engineering from Government College of Engineering, Kannur in 2014 and M.Tech Degree in Signal Processing from APJ Abdul Kalam Technological University in 2017. She worked as Junior Research Fellow in Naval Physical Oceanographic laboratory (NPOL-DRDO) in Signal Processing Division for almost a year before joining as a full-time research scholar in National Institute of Technology (NIT), Calicut in 2018. Her areas of interest are MultirateSignal Processing and the design of reconfigurable and hardware-efficient Filters and Filter Banks.

Publications

Journal Article

Year : 2022

Design of Sparse Uniform Linear Array Beamformer using Modified FRM Structure for Varied Applications

Cite this Research Publication : Parvathi. A. K., & Sakthivel. V, “Design of Sparse Uniform Linear Array Beamformer using Modified FRM Structure for Varied Applications.” International journal of electrical and computer engineering systems, vol. 13, pp. 695-700, October 2022.

Year : 2022

Low Complexity Multiplier-less Modified FRM Filter Bank using MPGBP Algorithm

Cite this Research Publication : Parvathi. A. K., & V. Sakthivel, “Low Complexity Multiplier-less Modified FRM Filter Bank using MPGBP Algorithm ”, International Journal of Electronics and Telecommunications, vol. 68, pp. 831-840, November 2022

Year : 2022

Low complexity reconfigurable Modified FRM architecture with full spectral utilization for efficient channelizers

Cite this Research Publication : Parvathi. A. K., & Sakthivel. V, “ Low complexity reconfigurable Modified FRM architecture with full spectral utilization for efficient channelizers,” Engineering Science and Technology, an International Journal, vol. 28, p. 101022, 2022

Year : 2021

Low Complexity Adaptive Spectrum Sensing using Modified FRM Filter Bank

Cite this Research Publication : Parvathi. A. K., & Sakthivel. V, “Low Complexity Adaptive Spectrum Sensing using Modified FRM Filter Bank,” International Journal of Electronics, pp. 1–20, 2021

Membership
  • IEEE membership
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