Adaptive Filter Theory (3rd Edition)

Simon Haykin, "Adaptive Filter Theory (3rd Edition)"
Prentice Hall | 1995 | ISBN: 013322760X | 989 pages | PDF | 85,3 MB

This book develops the mathematical theory of linear adaptive filters with finite impulse response. Examples and computer experiment applications illustrate the theory and principles. The second edition has also been restructured with an introduction followed by four parts: discrete-time wide-sense station stochastic process; linear optimum filtering; linear FIR adaptive filtering; limitations, extensions and discussions. New features includes new chapters on QR decomposition-based lattice filters, on blind deconvolution, new appendix material on complex variables and regulation.
Represents the most comprehensive treatment available of neural networks from an engineering perspective. Examines all the important aspects of this emerging technology. DLC: Adaptive filters.

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Adaptive Filter Theory (2 Edition), djvu

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