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Adaptive Inverse Control
Bernard/ Walach, Eugene Widrow

John Wiley & Sons Inc, 2007
  
  











  



  
Neural Networks for Signal Processing X: Proceedings of the 2000 IEEE Workshop (2-Volume Set)

Institute of Electrical & Electronics Enginee, 2001

This volume on neural networks for signal processing covers topics such as: algorithms and architectures, applications and implementations.
  
  











  



  
Adaptive Inverse Control
Bernard Widrow, Eugene Walach

Prentice Hall, 1995
  
  











  



  
Adaptive Signal Processing (Prentice-Hall Signal Processing Series)6 reviews
Bernard Widrow, Samuel Stearns

Prentice Hall, 1985

The best introductory book I've seen on this subject
This book is for the person who actually wants to learn HOW IT WORKS. Widrow writes in a clear and easy-to-follow style which delivers all of the mathematical theory and detail of the process of adaptation without drowning the reader in formalism. Statistical signal processing, adaptation dynamics, steady-state behavior, performance - this book explains all of these fundamentals. If you want to ...
  
  











  



  
Adaptive Inverse Control, Reissue Edition: A Signal Processing Approach
Bernard Widrow, Eugene Walach

Wiley-IEEE Press, 2007

A self-contained introduction to adaptive inverse control Now featuring a revised preface that emphasizes the coverage of both control systems and signal processing, this reissued edition of Adaptive Inverse Control takes a novel approach that is not available in any other book. Written by two pioneers in the field, Adaptive Inverse Control presents methods of adaptive signal processing that are borrowed from the field of ...
  
  











  



  
Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications
Bernard Widrow, István Kollár

Cambridge University Press, 2008

If you are working in digital signal processing, control or numerical analysis, you will find this authoritative analysis of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true? Get answers to these and other important practical questions from expert authors, including the founder of the field and formulator of the theory of quantization noise, ...
  
  











  







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