Sunday, 23 June 2013

EC2314 DIGITAL SIGNAL PROCESSING SYLLABI



ANNA UNIVERSITY, CHENNAI

AFFILIATED INSTITUTIONS

R - 2008

B.E. ELECTRICAL AND ELECTRONICS ENGINEERING


EC2314 DIGITAL SIGNAL PROCESSING

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 9

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 9

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 9 

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 9

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 9 

Introduction – Architecture – Features – Addressing Formats – Functional modes - Introduction to 
Commercial Processors 

L = 45 T = 15 TOTAL = 60 PERIODS 

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.

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