06EC664 - ADAPTIVE SIGNAL PROCESSING |
PART – A |
UNIT – I |
ADAPTIVE SYSTEMS: Definition and characteristics, Areas of
application, General properties, Open-and closed-loop adaptation,
Applications of closed-loop adaptation, Example of an adaptive system. |
UNIT – II |
THE ADAPTIVE LINEAR COMBINER: General description, Input
signal and weight vectors, Desired response and error, the performance
function, gradient and minimum mean-square error, Example of a
performance surface, Alternative expression of the gradient, Decorrelation of
error and input components. |
UNIT – III |
PROPERTIES OF THE QUADRATIC PERFORMANCE SURFACE: Normal of the input correlation matrix, Eigen values and Eigen vectors of the
input correlation matrix, an example with two weights, geometrical
significance of eigenvectors and Eigen values, a second example. |
UNIT – IV |
SEARCHING THE PERFORMANCE SURFACE: Methods of searching
the performance surface, Basic ideal of gradient search methods, a simple
gradient search algorithm and its solution, Stability and rate of convergence,
The learning curve, Gradient search by Newton’s method in
multidimensional space, Gradient search by the method of steepest descent,
Comparison of learning curves. |
PART – B |
UNIT – V |
GRADIENT ESTIMATION AND ITS EFFECTS ON ADAPTATION: Gradient component estimation by derivate measurement, the performance
penalty, Derivative measurement and performance penalties with multiple
weights, variance of the gradient estimate, effects on the weight-over
solution, excess mean-square error and time constants, mis adjustment,
comparative performance of Newton’s and steepest-descent methods, Total
mis adjustment and other practical considerations. |
UNIT – VI |
THE LMS ALGORITHM: Derivation of the LMS algorithm, convergence
of the weight vector, an example of convergence, learning curve, noise in the
weight-vector solution, misadjustment, performance. |
UNIT – VII |
ADAPTIVE MODELING AND SYSTEM IDENTIFICATION: General
description, Adaptive modeling of multipath communication channel,
adaptive modeling in geophysical exploration, Adaptive modeling in FIR
digital filter synthesis. |
UNIT – VIII |
ADAPTIVE INTERFACING CANCELING: The concept of adaptive
noise canceling, stationary noise-canceling solutions, effects of signal
components in the reference input, The adaptive interference canceller as a
notch filter, The adaptive interface canceller as a high-pass filter, Effects of
finite length and causality, multiple-reference noise canceling. |
REFERENCE |
TEXT BOOKS: |
1. Adaptive Signal Processing, Bernard Widrow and Samuel D.
Stearns, Pearson Education Asia, 2001. |
Reference Books |
1. Adaptive filter Theory, Simon Haykin, 4e, Pearson Education
Asia, 2002
2. Theory and Design of Adaptive Filters, Jophn R. Treichler C.
Richard Johnson, Jr. and Michael G. Larimore, Pearson education /
PHI 2002. |
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