Friday, June 22, 2012
EC2030 ADVANCED DIGITAL SIGNAL PROCESSING Syllabus- Anna University
EC2030
ADVANCED DIGITAL SIGNAL PROCESSING L T P C
3 0 0 3
AIM
To introduce the student to advanced digital
signal
processing techniques.
OBJECTIVES
·
To study the parametric methods for power
spectrum estimation.
· To study adaptive filtering techniques using LMS algorithm
and to study the
applications of adaptive filtering.
· To introduce the student to wavelet transforms.
UNIT I
DISCRETE RANDOM PROCESS
9
Discrete random process – Ensemble averages, Stationary and ergodic processes, Autocorrelation
and
Autocovariance
properties
and
matrices,
White
noise,
Power Spectral Density,
Spectral Factorization, Innovations Representation and Process, Filtering random processes, ARMA, AR and MA processes.
UNIT II SPECTRAL ESTIMATION
9
Bias and Consistency, Periodogram, Modified periodogram, Blackman-Tukey method, Welch method, Parametric methods of spectral estimation, Levinson-Durbin recursion.
UNIT III
LINEAR ESTIMATION AND PREDICTION 9
Forward and Backward linear prediction, Filtering - FIR Wiener filter- Filtering and linear prediction, non-causal and causal
IIR
Wiener filters, Discrete Kalman filter.
UNIT IV ADAPTIVE FILTERS
9
Principles of adaptive filter – FIR adaptive filter
– Newton’s Steepest descent algorithm –
Derivation of first order adaptive filter – LMS adaptation algorithms – Adaptive noise
cancellation, Adaptive equalizer, Adaptive echo cancellors.
UNIT V
ADVANCED TRANSFORM TECHNIQUES 9
2-D Discrete Fourier
transform and properties– Applications to image smoothing and sharpening – Continuous and Discrete wavelet transforms – Multiresolution Analysis –
Application to signal
compression.
TEXT BOOKS
TOTAL : 45 PERIODS
1. Monson H
Hayes,”
Statistical Digital
Signal processing and Modeling”, Wiley
Student Edition, John Wiley and Sons, 2004.
2. R.C. Gonzalez and R.E. Woods, “ Digital
Image Processing”, Pearson, Second
Edition, 2004.
REFERENCES
1. John G Proakis and Manolakis, “
Digital Signal Processing Principles, Algorithms and
Applications”, Pearson, Fourth Edition, 2007.
2. Sophocles J. Orfanidis, Optimum Signal
Processing, An Introduction, McGraw Hill,
1990.
By Vinoth
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