EEU 302 DIGITAL SIGNAL PROCESSING & APPLICATIONS S6 Core Objective and level of course

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EEU 302 DIGITAL SIGNAL PROCESSING & APPLICATIONS




S6 Core





Objective and level of course
:

1)

To understand the basic class of discrete
-
time signals and systems and the
ir
representations.

2)

To understand the use of transforms for the analysis of discrete
-

time systems.

3)

To understand the digital filter design techniques and finite word length effects.

4)

To understand DFT and algorithms for its computations.

5)

To identify applic
ations with analysis


Prerequisite: Nil


Module I









(10+2 hours)

Discrete
-
time signals and systems:
Discrete
-
time signals
-

sequences
-

Discrete
-
time
systems
-

linear shift
-

invariant systems
-

stability and causality
-

difference equatio
ns
-

frequency domain representations


Review of Fourier transform and its properties
-

sampling of continuous


Spectral characteristics
-

time signals
-

z transform
-

inverse z
transforms .


Module II











(10 +3 hours)

Transform Analysi
s of LTI Systems and Structures for DTS:
Frequency response for
rational system functions
-

Geometric construction for computation of the frequency
response function from pole
-
zero plots
-

minimum phase systems
-
Linear systems with
generalized linear phase
-

b
asic structures for IIR and FIR systems
-

Direct forms
-

cascade
forms
-

parallel forms
-
Lattice structures
-

DSP chips
-

architecture of fixed point and
floating point DSP core (schematics only)


implementation.


Module III










(12+4 hour
s)

Digital filter design techniques and finite wordlength effects
: Design of IIR filters
from analog filters
-

analog Butterworth function for various filters
-

analog to digital
transformation
-

backward
-

difference and forward
-

difference approximation
s
-

impulse
invariant transformation
-

bilinear transformation
-

prewarping
-

-

design examples
-

properties of FIR filters
-

design of FIR filters using windows
-

comparison of IIR and
FIR filters
-

finite word length effect in DSP
-

zero
-
input limit cycle
s in fixed point
realizations of IIR digital filters
-
Limit cycles due to overflow. Applications for Speech
signal processing.



Module IV









(10+3 hours)

The Discrete Fourier Transform :
Representation of periodic sequences
-

properties o
f
discrete Fourier series
-

discrete Fourier transforms
-

properties of DFT
-

linear
convolution using DFT
-

overlap
-

add method
-

overlap
-

save method
-

FFT
-

Radix2
DIT FFT algorithm
-

Radix2 DIF FFT algorithm
-

butterfly structure
-

bit reversed order

-

L

T

P

C

3

1

0

3

in
-

place computations
-
Fourier analysis of signals using the DFT
-

DFT Application and
analysis.





Reference Books



1. Alan V . Oppenheim, Ronald W. Schafer, .Discrete
-
Time Signal Processing.,
Prentice
-
Hall of India Pvt. Ltd., New Delhi, 1
997

2.

Sanjit K Mitra, .Digital Signal Processing: A computer
-
based approach. ,Tata Mc

Grow
-
Hill edition .1998

3.

John G. Proakis, and Dimitris G. Manolakis, .Digital Signal Processing.(third
edition), Prentice
-
Hall of India Pvt. Ltd, New Delhi, 1997

4.

Emm
anuel C. Ifeachor, Barrie W. Jervis , .Digital Signal Processing
-
A practical
Approach., Addison . Wesley,1993

5.

Abraham Peled and Bede Liu, .Digital Signal Processing., John Wiley and Sons,
1976

6.

Haykin and Van Veen, Signals and Systems, (second edition), Jo
hn Wiley and
sons, Inc.,2003.