Adaptive Filter Theory 5th Edition Haykin Solutions Manual

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Adaptive Filter Theory 5th Edition Haykin Solutions Manual.

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Product Details:

  • ISBN-10 ‏ : ‎ 013267145X
  • ISBN-13 ‏ : ‎ 978-0132671453
  • AUthor: Simon O. Haykin (Author)

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.

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

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