Adaptive Signal Processing / Edition 1

Adaptive Signal Processing / Edition 1

4.5 2
by Bernard Widrow, Peter N. Stearns

ISBN-10: 0130040290

ISBN-13: 9780130040299

Pub. Date: 03/15/1985

Publisher: Prentice Hall

A comprehensive and practical treatment of adaptive signal processing featuring frequent use of examples.

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A comprehensive and practical treatment of adaptive signal processing featuring frequent use of examples.

Product Details

Prentice Hall
Publication date:
Prentice Hall Signal Processing Series
Edition description:
New Edition
Product dimensions:
7.00(w) x 9.00(h) x 1.00(d)

Table of Contents


Adaptive Systems.
The Adaptive Linear Combiner.


Properties of the Quadratic Performance Surface.
Searching the Performance Surface.
Gradient Estimation and Its Effects on Adaptation.


The LMS Algorithm.
The Z-Transform in Adaptive Signal Processing.
Other Adaptive Algorithms and Structures.
Adaptive Lattice Filters.


Adaptive Modeling and System Identification.
Inverse Adaptive Modeling, Deconvolution, and Equalization.
Adaptive Control Systems.
Adaptive Interference Cancelling.
Introduction to Adaptive Arrays and Adaptive Beamforming.
Analysis of Adaptive Beamformers.

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Adaptive Signal Processing 4.5 out of 5 based on 0 ratings. 2 reviews.
Anonymous More than 1 year ago
Guest More than 1 year ago
I've even been known to give this book as a gift (for the electrical engineer that doesn't have everything). Something that I have observed about superior explainers over the years, is that if they really know the subject, then they can explain it to almost anyone. Widrow invented the subject and can see it with his mind's eye and more importantly can give you the vision. He reduces the dynamics to a marble seeking the bottom of a bowl. In fact, he helps you become the marble and the bowl. I have attended many seminars and short classes over the years at UCLA. Widrow's was the only one where we gave the lecturer a standing ovation. Before I read this book, adaptive filtering was a mystery and the LMS algorithm looked like a programming nightmare. It looked like more Kalman filtering. My eyes have been opened. The LMS algorithm for adaptive filtering is almost as simple as Tit for Tat is for game theory. This is the gateway text to understand adaptive filtering, adaptive arrays (help the navy find the rogue submarine), adaptive equalization (design the next generation of modem), adaptive control (say goodbye to overshoot), adaptive prediction (beat the stock market). Furthermore, it leads naturally into the artificial intelligence techniques. If you are an engineer or a programmer, you should have this tool in your toolbox.