Adaptive Filter Theory (Prentice-Hall Information and System Sciences Series)

Adaptive Filter Theory by Simon Haykin, published by Prentice Hall in 1991, is a comprehensive exploration of the mathematical theory behind linear adaptive filters with finite impulse response. This second edition spans 854 pages and is presented in English, offering a structured approach that begins with an introduction followed by detailed discussions on discrete-time wide-sense stationary stochastic processes, linear optimum filtering, and linear FIR adaptive filtering.

Readers will find a wealth of examples and computer experiment applications that illustrate the theoretical concepts presented. The book also addresses limitations and extensions of the theory, while introducing new chapters on QR decomposition-based lattice filters and blind deconvolution. Additional appendix material on complex variables and regulation enhances the depth of the content, making it a valuable resource for those interested in electric filters and adaptive filtering techniques.