Back close

Course Detail

Course Name Digital Signal Processing and Processors
Course Code 19EAC213
Program B. Tech. in Electronics and Computer Engineering
Semester 4
Year Taught 2019

Syllabus

Module I

Discrete Fourier transforms: Fourier Transform, Fourier analysis of discrete time signals and systems: Discrete time Fourier series – Discrete Time Fourier Transform – properties of DTFT – Introduction to DFTproperties of DFT – linear filtering methods based on DFT – FFT – efficient computation of the DFT of a 2Npoint real sequences – correlation – use of FFT in linear filtering and correlation.

Module II

Digital filters: Introduction, specifications of practical filters, Characteristics of commonly used analog filters – IIR filters: design by approximation of derivatives – impulse invariance and Bilinear transformation – frequency transformations for analog and digital filters. FIR filters: symmetric and anti-symmetric FIR filters – design of linear phase FIR filter using Windows – FIR differentiators – Hilbert transforms – comparison of design methods for linear phase FIR filters

Module III

Digital filters realizations: Structures for IIR systems – direct form structures, cascade form structures, parallel form structures, Structures for FIR systems – direct form structures, Linear phase and cascade form structures.Applications of DSP – a few case studies. Elementary idea about the architecture and important instruction sets of TMS320C 5416/6713 processor, writing of small programs in assembly Language.

Objectives and Outcomes

Course Objectives

  • To introduce the mathematical methods applied for signal processing.
  • to provide a thorough understanding and working knowledge of signal processing techniques
  • Design and Implementation of digital filters.

Course Outcomes

  • CO1: Ability to use concepts of trigonometry, complex algebra, Fourier transform, z-transform.
  • CO2: Ability select proper tools for time domain and frequency domain implementation-DFT FFT
  • CO3: Ability to design, implementation, analysis and comparison of digital filters.
  • CO4: Familiar with DSP processors.

CO – PO Mapping

PO/PSO/
CO
PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 2 2 3 3 3
CO2 2 3 1 1 3
CO3 3 3 2 3 3 3
CO4 3 3 2 3 3 3 3

Text Book / Reference

Text Book(s) / Reference(s)

  • John G Proakis, G. Manolakis, “Digital Signals Processing Principles, Algorithms, Applications”, Prentice Hall India Private Limited, Fourth Edition, 2007.
  • Sanjit K. Mitra, “Digital Signal Processing. A Practical approach”, Tata McGraw Hill Publishing Company Limited, 2005.
  • Allen V. Oppenheim, Ronald W. Schafer, “Discrete time Signal processing”, Prentice Hall India Private Limited, Fifth Edition, 2000.
  • Digital Signal Processing-implementation using DSP microprocessors with examples from TMS320C54XX, Avtar Singh & S. Srinivasan, Cengage Learnings.

Evaluation Pattern 50:50 (Internal: External)

Assessment Internal External
Periodical 1 (P1) 15
Periodical 2 (P2) 15
*Continuous Assessment (CA) 20
End Semester 50
*CA – Can be Quizzes, Assignment, Projects, and Reports.

DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.

Admissions Apply Now