EC2312 DIGITAL SIGNAL PROCESSING SYLLABUS

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(Common to all B.E. / B.Tech. Degree Programmes)

AIM

To introduce the concept of analyzing discrete time signals & systems in the time and

frequency domain.

OBJECTIVES

 To classify signals and systems & their mathematical representation.

 To analyse the discrete time systems.

 To study various transformation techniques & their computation.

 To study about filters and their design for digital implementation.

 To study about a programmable digital signal processor & quantization effects.

UNIT I INTRODUCTION

Classification of systems: Continuous, discrete, linear, causal, stable, dynamic,

recursive, time variance; classification of signals: continuous and discrete, energy and

power; mathematical representation of signals; spectral density; sampling techniques,

quantization, quantization error, Nyquist rate, aliasing effect. Digital signal

representation.

UNIT II DISCRETE TIME SYSTEM ANALYSIS

Z-transform and its properties, inverse z-transforms; difference equation – Solution by

z-transform, application to discrete systems - Stability analysis, frequency response –

Convolution – Fourier transform of discrete sequence – Discrete Fourier series.

UNIT III DISCRETE FOURIER TRANSFORM & COMPUTATION

DFT properties, magnitude and phase representation - Computation of DFT using FFT

algorithm – DIT & DIF - FFT using radix 2 – Butterfly structure.

UNIT IV DESIGN OF DIGITAL FILTERS

FIR & IIR filter realization – Parallel & cascade forms. FIR design: Windowing

Techniques – Need and choice of windows – Linear phase characteristics. IIR design:

Analog filter design - Butterworth and Chebyshev approximations; digital design using

impulse invariant and bilinear transformation - Warping, prewarping - Frequency

transformation.

UNIT V DIGITAL SIGNAL PROCESSORS

Introduction – Architecture – Features – Addressing Formats – Functional modes -

Introduction to Commercial Processors

TEXT BOOKS

1. J.G. Proakis and D.G. Manolakis, ‘Digital Signal Processing Principles, Algorithms

and Applications’, Pearson Education, New Delhi, 2003 / PHI.

2. S.K. Mitra, ‘Digital Signal Processing – A Computer Based Approach’, Tata McGraw

Hill, New Delhi, 2001.

REFERENCES

1. Alan V. Oppenheim, Ronald W. Schafer and John R. Buck, ‘Discrete – Time Signal

Processing’, Pearson Education, New Delhi, 2003.

2. Emmanuel C Ifeachor and Barrie W Jervis ,”Digital Signal Processing – A Practical

approach” Pearson Education, Second edition, 2002.

3. Steven W. Smith, “The Scientist and Engineer's Guide to Digital Signal Processing”,

Second Edition, California Technical Publishing San Diego, California. w.DSPguide.com)

4. B. Venkataramani, M. Bhaskar, ‘Digital Signal Processors, Architecture, Programming

and Applications’, Tata McGraw Hill, New Delhi, 2003.