EC2314 DIGITAL SIGNAL PROCESSINGTo introduce the concept of analyzing discrete time signals & systems in the time and frequency
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 9Classification 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 9Z-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 9DFT 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 9FIR & 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 9Introduction – Architecture – Features – Addressing Formats – Functional modes - Introduction to
L = 45 T = 15 TOTAL = 60 PERIODS
TEXT BOOKS1. 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.