EE6403DISCRETE TIME SYSTEMS AND SIGNAL PROCESSING
EE6403 DISCRETE TIME SYSTEMS AND
SIGNAL PROCESSING L T P C 3 0 0 3
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 andpower; mathematical representation of signals; spectral density; sampling
techniques, quantization, quantization error, Nyquist rate, aliasing effect.
UNIT
II DISCRETE TIME SYSTEM ANALYSIS 9
Z-transform
and its properties, inverse z-transforms; difference equation – Solution by
ztransform,application to discrete systems - Stability analysis, frequency
response – Convolution – Discrete TimeFourier transform , magnitude and phase
representation.
UNIT
III DISCRETE FOURIER TRANSFORM & COMPUTATION 9
Discrete
Fourier Transform- properties, magnitude and phase representation - Computation
of DFT using FFT algorithm – DIT &DIF using radix 2 FFT – 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. Analog filter design – Butterworth and
Chebyshev approximations; IIR Filters, digital design using impulse invariant
and bilinear transformation - mWarping, pre warping.
UNIT
V DIGITAL SIGNAL PROCESSORS 9
Introduction –
Architecture – Features – Addressing Formats – Functional modes - Introduction
to Commercial DSProcessors.
TOTAL : 45
PERIODS 50
OUTCOMES:
·
Ability to understand and apply basic science, circuit theory, Electro-magnetic
field theory control theory and apply them to electrical engineering problems.
TEXT BOOKS:
1. J.G.
Proakis and D.G. Manolakis, ‘Digital Signal Processing Principles, Algorithms
and Applications’, Pearson Education, New Delhi, PHI. 2003.
2. S.K. Mitra,
‘Digital Signal Processing – A Computer Based Approach’, McGraw Hill Edu, 2013.
3. Robert Schilling & Sandra L.Harris,
Introduction to Digital Signal Processing using Matlab”, Cengage Learning,2014.
REFERENCES:
1. Poorna
Chandra S, Sasikala. B ,Digital Signal Processing, Vijay Nicole/TMH,2013.
2. B.P.Lathi,
‘Principles of Signal Processing and Linear Systems’, Oxford University Press,
2010
3. Taan S.
ElAli, ‘Discrete Systems and Digital Signal Processing with Mat Lab’, CRC
Press, 2009.
4. Sen M.kuo,
woonseng…s.gan, “Digital Signal Processors, Architecture, Implementations &
Applications, Pearson,2013
5. Dimitris
G.Manolakis, Vinay K. Ingle, applied Digital Signal Processing,Cambridge,2012
6. Lonnie
C.Ludeman ,”Fundamentals of Digital Signal Processing”,Wiley,2013
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