Trending: Anna University 8th Sem Results April 2014 May/June 2014 Time Table/ Internal Marks Calculate CGPA Online SSLC Results 2014 12th Result 2014

Test Footer 1

Friday, November 2, 2012

DI9313 ADVANCED DIGITAL SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY ME DIGITAL COMMUNICATIONS AND NETWORKING 1ST SEM SYLLABUS REGULATION 2009 2011 2012-2013

Latest: TNEA 2014 Engineering Application Status, Counselling Date, Rank List
DI9313 ADVANCED DIGITAL SIGNAL PROCESSING SYLLABUS | ANNA UNIVERSITY ME DIGITAL COMMUNICATIONS AND NETWORKING 1ST SEM SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FIRST SEMESTER DIGITAL COMMUNICATIONS AND NETWORKING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2009 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

DI9313 ADVANCED DIGITAL SIGNAL PROCESSING L T P C
3 0 0 3
[Review of discrete-time signals and systems- DFT and FFT, Z-Transform, Digital
Filters is recommended]
UNIT I DISCRETE RANDOM SIGNAL PROCESSING 9
Discrete Random Processes- Ensemble averages, stationary processes,
Autocorrelation and Auto covariance matrices. Parseval's Theorem, Wiener-
Khintchine Relation- Power Spectral Density-Periodogram Spectral Factorization,
Filtering random processes. Low Pass Filtering of White Noise. Parameter
estimation: Bias and consistency.
5
UNIT II SPECTRUM ESTIMATION 9
Estimation of spectra from finite duration signals, Non-Parametric Methods-
Correlation Method , Periodogram Estimator, Performance Analysis of Estimators -
Unbiased, Consistent Estimators- Modified periodogram, Bartlett and Welch
methods, Blackman –Tukey method. Parametric Methods - AR, MA, ARMA model
based spectral estimation. Parameter Estimation -Yule-Walker equations, solutions
using Durbin’s algorithm
UNIT III LINEAR ESTIMATION AND PREDICTION 9
Linear prediction- Forward and backward predictions, Solutions of the Normal
equations- Levinson-Durbin algorithms. Least mean squared error criterion -Wiener
filter for filtering and prediction , FIR Wiener filter and Wiener IIR filters ,Discrete
Kalman filter
UNIT IV ADAPTIVE FILTERS 9
FIR adaptive filters -adaptive filter based on steepest descent method-Widrow-Hoff
LMS adaptive algorithm, Normalized LMS. Adaptive channel equalization-Adaptive
echo cancellation-Adaptive noise cancellation- Adaptive recursive filters (IIR). RLS
adaptive filters-Exponentially weighted RLS-sliding window RLS.
UNIT V MULTIRATE DIGITAL SIGNAL PROCESSING 9
Mathematical description of change of sampling rate - Interpolation and Decimation ,
Decimation by an integer factor - Interpolation by an integer factor, Sampling rate
conversion by a rational factor, Filter implementation for sampling rate conversiondirect
form FIR structures, Polyphase filter structures, time-variant structures.
Multistage implementation of multirate system. Application to sub band coding -
Wavelet transform and filter bank implementation of wavelet expansion of signals.
L-45 T-15 TOTAL-60
REFERENCES:
1. Monson H.Hayes, Statistical Digital Signal Processing and Modeling, John
Wiley and Sons, Inc.,Singapore, 2002.
2. John G.Proakis, Dimitris G.Manolakis, Digital Signal Processing Pearson
Education, 2002.
3. John G.Proakis et.al.,’Algorithms for Statistical Signal Processing’, Pearson
Education, 2002.
4. Dimitris G.Manolakis et.al.,’Statistical and adaptive signal Processing’, McGraw
Hill, Newyork,2000.
5. Rafael C. Gonzalez, Richard E.Woods, ‘Digital Image Processing’, Pearson
Education, Inc., Second Edition, 2004.( For Wavelet Transform Topic)

No comments:

Post a Comment

Any doubt ??? Just throw it Here...