Digital Signal Processing - Topics to learn for an Electronics and communication engineer!

Reading Books: 
1 John G Proakis, Dimtris G Manolakis, Digital Signal Processing Principles, Algorithms and Application, PHI, 4th Edition, 2009
Other Specific Book:
2 Alan V Oppenheim, Ronald W Schafer, John R Back, Discrete Time Signal Processing, PHI, 2nd Edition 2008
3 S.Salivahanan, A.Vallavaraj, Gnanapriya, Digital Signal Processing, McGraw-Hill / TMH, 2007
4 S.K.Mitra, “Digital Signal Processing- A Computer based approach”, Tata McGraw-Hill, 2006, New Delhi.
5 Johny R.Johnson :Introduction to Digital Signal Processing, Prentice Hall, 2006.
6 Avtar singh, S.Srinivasan DSP Implementation using DSP microprocessor with Examples from TMS32C54XX -Thamson / Brooks cole
Publishers, 2008

Other Relative Reading Material
Sr No Jouranls atricles as compulsary readings (specific articles, Complete reference)
7 Nikolaos V. Boulgouris, Juwei Lu, Konstantinos N. Plataniotis, and Arun Ross, “Advanced Signal Processing and Pattern Recognition Methods for Biometrics,”
EURASIP Journal on Advances in Signal Process
8 Xin Cindy Guo and Dimitrios Hatzinakos, “Image Authentication Using Added Signal- Dependent Noise,” Research Letters in Signal Processing, vol. 2007,
Article ID 47549, 5 pages, 2007
9 Giulio Agostini, Maurizio Longari, and Emanuele Pollastri, “Musical Instrument Timbres Classification with Spectral Features,” EURASIP Journal on Applied
Signal Processing, vol. 2003, no. 1, pp. 5-14,
10 Amritpal, Manmohan, “Waveform distortion estimation using multiple power quality events”, Proceedings of ICSTC 2008, Sandiego, USA.

Relevant Websites 

Sr. No. (Web adress) (only if relevant to the courses) Salient Features
11 http://www.dsptutor.freeuk.com/dfilt1.htm Contains Informative material regarding digital filters
12 http://www.mathworks.com/products/signal/de mos.html?
BB=1
Contains animated signal processing demos
13 http://www.ee.ucla.edu/~dsplab/index.html Interactive Digital Signal Processing Laboratory
14 http://www.jhu.edu/signals/ Contains animation related to DSP
15 http://djj.ee.ntu.edu.tw/FRFT.pdf Fractional fourier transform
16 http://www.medialab.ch/ds/vorlesung/LeastSquaresFilter.pdf linear phase filters




 Introduction to Signals and Systems, Classification
of Signals- energy and power,periodic and
aperiodic, even and odd

Advantages of digital signal processing as
compared to analog signal processing


Signal processing applications
real world examples

Discrete time signals-Unit sample, Unit step,Unit
ramp,exponential signals.


Discrete time Systems-block diagram
representations, classification-static vs dynamic,
Time variant vs Time Invariant, linear vs non-
linear,causal and non-causal, stable vs unstable

LTI systems-Techniques for analysis of LTI
systems,resolution of Discrete time signals into
impulses,response of LTI systems to arbitrary inputs

 properties of convolution and interconnection of LTI
systems,causal LTI systems,stability of LTI systems


discrete time systems described by difference
equations

Implementation of Discrete time systems
Correlation of Discrete -Time Signals

fourier series for continuous time periodic and
aperiodic signals,power density spectrum of periodic
signals, energy density spectrum of aperiodic
signals

Frequency analysis of discrete time signals
DTFT,Properties of DTFT
problems on DFT
 linear convolution and circular convolution  animation
problems on convolution
 problems on convolution
FFT, Radix-2, decimation in Time
Decimation in frequency
inverse DFT
Introduction to fractional fourier transform


 The Z-transform, properties
 ROC, convolution using Z-transform using matlab
 inverse z-transform, analysis of LTI systems in z-
domain

Structures for realization of discrete time systems-
structure for FIR systems-direct form structure and
cascade structure
matlab
 frequency sampling structure and lattice structure
structure for IIR systems



 Effects of coefficient quantization

round off effects in filters
 filter design using windows
(Blackman,hamming,hanningKaiser)

 FIR filter design using frequency sampling method
 IIR filter design BLT
IIR filter design by impulse invariance
Optimum approximation of FIR filters
Linear phase filters
revision

problems on fourier transform
problems on Z-transform
problems on FIR filter design
problems on IIR filter design


Tutorial 1 applications of DSP Case analysis
Tutorial 2 operations on sequences Problem solving
Tutorial 3 convolution Problem solving
Tutorial 4 problems on linearity Problem solving
Tutorial 5 fourier transform Problem solving
Tutorial 6 DIT-FFT Problem solving
Tutorial 7 DIF FFT Problem solving
After Mid-Term
Tutorial 8 Z-transform Problem solving
Tutorial 9 basic structure of filters Problem solving
Tutorial 10 FIR filter design Problem solving
Tutorial 11 IIR filter design Problem solving