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Adaptive Filter Theory Simon Haykin

Adaptive Filter Theory By Simon Haykin

Adaptive Filter Theory by Simon Haykin


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Summary

For courses in Adaptive Filters.

Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.

Adaptive Filter Theory Summary

Adaptive Filter Theory: International Edition by Simon Haykin

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Adaptive Filter Theory, 5e, is ideal for courses in Adaptive Filters.

Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.

About Simon Haykin

Simon Haykin received his B.Sc. (First-class Honours), Ph.D., and D.Sc., all in Electrical Engineering from the University of Birmingham, England. He is a Fellow of the Royal Society of Canada, and a Fellow of the Institute of Electrical and Electronics Engineers. He is the recipient of the Henry Booker Gold Medal from URSI, 2002, the Honorary Degree of Doctor of Technical Sciences from ETH Zentrum, Zurich, Switzerland, 1999, and many other medals and prizes.

He is a pioneer in adaptive signal-processing with emphasis on applications in radar and communications, an area of research which has occupied much of his professional life.

Table of Contents

  • Chapter 1 Stochastic Processes and Models
  • Chapter 2 Wiener Filters
  • Chapter 3 Linear Prediction
  • Chapter 4 Method of Steepest Descent
  • Chapter 5 Method of Stochastic Gradient Descent
  • Chapter 6 The Least-Mean-Square (LMS) Algorithm
  • Chapter 7 Normalized Least-Mean-Square (LMS) Algorithm and Its Generalization
  • Chapter 8 Block-Adaptive Filters
  • Chapter 9 Method of Least Squares
  • Chapter 10 The Recursive Least-Squares (RLS) Algorithm
  • Chapter 11 Robustness
  • Chapter 12 Finite-Precision Effects
  • Chapter 13 Adaptation in Nonstationary Environments
  • Chapter 14 Kalman Filters
  • Chapter 15 Square-Root Adaptive Filters
  • Chapter 16 Order-Recursive Adaptive Filters
  • Chapter 17 Blind Deconvolution

Additional information

NGR9780273764083
9780273764083
027376408X
Adaptive Filter Theory: International Edition by Simon Haykin
New
Paperback
Pearson Education Limited
2013-07-26
912
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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