Anna University Syllabus
EC2312 DIGITAL SIGNAL PROCESSING
Subject Code : EC2312
Subject Name : DIGITAL SIGNAL PROCESSING
L – 3
Semester : 5th Sem
Year : 3rd yr
Department : EEE
To introduce the concept of analyzing discrete time signals & systems in the time and frequency domain.
· 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
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 toCommercial Processors
L = 45
T = 15
TOTAL = 60 PERIODS
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.