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SYLLABUS:
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SYLLABUS:
EC2312 DIGITAL SIGNAL PROCESSING L T P C
3 1 0 4
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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