AKTU Digital Signal Processing (BEE057) Syllabus PDF – B.Tech 3rd Year

Pre-requisites of course: Basic Signals & System, Network Analysis & Synthesis.

Course Outcomes

Upon the completion of the course, the student will be able to:

KL- Bloom’s Knowledge Level (K , K , K , K , K , K ) 1 2 3 4 5 6 K – Remember K – Understand K – Apply K – Analyze K – Evaluate K – Create 1 2 3 4 5 6

Course Content

Unit-I:

Discrete-Time Signals and Systems:

Sequences, discrete time systems, LTI systems, frequency domain representation of discrete time signals and systems, discrete time signals and frequency domain representation, Fourier Transform.

Realization of Digital Linear Systems:

IIR Filter Realization: Direct form, cascade realization, parallel form realization, Ladder structures- continued fraction expansion of H(z). FIR Filter Realization: Direct, Cascade, FIR Linear Phase Realization

Unit-II:

Sampling of Continuous Time Signals:

Sampling and reconstruction of signals, frequency domain representation of sampling, discrete time processing of continuous time signals, continuous time processing of discrete time signals, changing the sampling rate using discrete time processing, multi rate signal processing, digital processing of analog signals, over sampling and noise shaping in A/D and D/A conversion.

Unit-III:

Transform Analysis of LTI Systems:

Frequency response of LTI systems, system functions, frequency response for rational system functions, magnitude-phase relationship, all pass systems, minimum phase systems, and linear systems with generalized linear phase Discrete Fourier Transform:

Concept and relations for DFT/IDFT, Twiddle factors and their properties, computational burden on direct DFT, DFT/IDFT as linear transformations, DFT/IDFT matrices, computation of DFT/IDFT by matrix method, multiplication of DFTs, circular convolution, computation of circular convolution by graphical, DFT/IDFT and matrix methods, linear filtering using DFT, aliasing error, filtering of long data sequences – Overlap-Save and Overlap-Add methods with example

Unit-IV:

Filter Design Techniques:

Design of IIR filters using Impulse Invariant Response method and Bilinear Transformation method.

Butterworth filters and Chebyshev Filter’s response, Design of FIR filters by windowing, Kaiser Window method, optimum approximations of FIR filters,

Unit-V:

Fast Fourier Transform:

Radix-2 algorithm, decimation-in-time, decimation-in-frequency algorithms, signal flow graphs, Butterflies, computations in one place, bit reversal, examples for DIT & DIF FFT Butterfly computations with examples.

Introduction to wavelet transform:

Wavelet comparison with Fourier transforms, Applications of Wavelet cosine transform, Discrete cosine transform (DCT).

Text Books

1. S. Salivahanan, “Digital Signal Processing”, McGraw Hill Education (India) Private Limited.
2. Oppenheim & Schafer, Digital Signal Processing. Pearson Education 2015
3. S.K. Mitra, ‘Digital Signal Processing–A Computer Based Approach, McGraw Hill, 4th Edition

Reference Books

1. John G Prokias, Dimitris G Manolakis, Digital Signal Processing. Pearson , 4th Edition, 2007
2. Rabiner, L.R. and Gold B., “Theory and applications of DSP”, Prentice Hall of India.
3. Oppenheim, Alan V. &Willsky, Alan S. , “Signals and Systems” , Prentice Hall of India, 2nd Edition
4. Johnny R. Johnson, Digital Signal Processing, PHI Learning Pvt Ltd., 2009.