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To Introduce The Principles and Core Areas of Signal Processing, in A Programmatic Approach and Explore The Basic Ideas On The Applications of DSP in Various Fields of Science and Technology

This document outlines the objectives and modules of the CS010 504(EC) Digital Signal Processing course. The course introduces principles of signal processing using a programmatic approach and explores applications in various fields. It covers topics like continuous and discrete time signals, linear time-invariant systems, the z-transform, Fourier analysis, FIR and IIR filter design methods, and applications of DSP like audio and image processing. The course has 5 modules, is worth 4 credits, and involves 3 hours of lectures and 1 hour of tutorials per week. Recommended textbooks are also provided.

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100 views3 pages

To Introduce The Principles and Core Areas of Signal Processing, in A Programmatic Approach and Explore The Basic Ideas On The Applications of DSP in Various Fields of Science and Technology

This document outlines the objectives and modules of the CS010 504(EC) Digital Signal Processing course. The course introduces principles of signal processing using a programmatic approach and explores applications in various fields. It covers topics like continuous and discrete time signals, linear time-invariant systems, the z-transform, Fourier analysis, FIR and IIR filter design methods, and applications of DSP like audio and image processing. The course has 5 modules, is worth 4 credits, and involves 3 hours of lectures and 1 hour of tutorials per week. Recommended textbooks are also provided.

Uploaded by

robomasterguy
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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CS010 504(EC) DIGITAL SIGNAL PROCESSING

Objectives:-
To introduce the principles and core areas of Signal Processing, in a
programmatic approach and explore the basic ideas on the applications
of DSP in various fields of Science and Technology.

Module 1: (12 Hrs)

Introduction to Signals & Systems:-


Continuous Time Signals and Discrete Time Signals- Generation of
Discrete Time Signals – Sampling, Elementary Discrete Time Signals-
Operations
on Discrete Time Signals- Convolution- Discrete Time Systems -
Properties of Discrete Time
Systems-Linearity, Time invariance-Causality-Stability- Linear Time
Invariant (LTI) Systems
Difference Equation representation of LTI Systems -The Z transform-
Properties of Z transform-
Inverse Z transform-System Transfer function.

Module 2: (12 Hrs)

Frequency Domain Representation of Discrete Time Signals:-


Discrete Time Fourier Transform (DTFT) properties, Discrete Fourier
Transform(DFT) properties& Fast Fourier
Transform( FFT) Decimation in Time &Decimation in Frequency
algorithms.

Module 3(13Hrs)

Finite Impulse Response Filter:-


FIR Filters with Linear Phase, Need of Linear Phase, FIR Filter
Design Methods- Fourier Series Method – Window Method- Design of
FIR Filters using Rectangular,Triangular,Hamming, Hanning,
Blackmann and Kaiser Windows. Realization of FIR Filter- Direct,
Linear Phase and Cascade Realizations.

Module 4: (13 Hrs)

Infinite Impulse Response Filters:- Steps in IIR Filter Design,


Conversion of Analog Filter to Digital
Filter- Impulse Invariant and Bilinear Transformations, Analog Filter
Design Approximations-
Butterworth and Chebyshev Approximations., Realization of IIR Filter-
Direct, Cascade and Parallel
Realizations.

Module 5(10 Hrs)

Introduction to DSP Chips: - Basic Architecture of a DSP chip, Case


Study: TMS 320, TigerSHARC
Processors (Overview of Architecture and Features)
Applications of DSP:- Audio Signal Processing and Compression,
Image Processing- JPEG
Compression, Video Compression, Speech Processing and Recognition,
Weather Forecasting, RADAR,
(Brief idea only)

Teaching scheme Credits: 4

3 hours lecture and 1 hour tutorial per week

Text Books

1. Oppenheim A. V., Schafer R. W., Discrete-Time Signal Processing-


PrenticeHall/Pearson.
2. Andreas Antoniou Digital Signal Processing Tata McGrawHill
Reference Books

1. S.K. Mithra Digital Signal Processing , A Computer Based Approach


TataMcGraw Hill
2. John G. Proakis, Dimitris G. Manolakis, Digital Signal Processing:
Principles, Algorithms
and Applications, Prentice Hall of India Pvt. Ltd., 1997
Mahatma Gandhi University

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