MATLAB & Simulink Based Books

Adaptive Filtering, 2e: Algorithms and Practical Implementation

		Paulo S. R. Diniz, Federal University of Rio de Janiero Springer, 2002 Tel:  212-460-1500 Fax:  212-460-1575 E-mail:  service@springer-ny.com ISBN: 1-4020-7125-6 Language: English

Written for senior-level undergraduate and first-year graduate courses in signal processing and adaptive filtering, this book presents the theory of adaptive filtering, and provides algorithms that work in finite-precision implementation. Topics covered include least-mean-square algorithms; conventional, adaptive lattice-based, fast transversal, and QR-decomposition-based recursive least square algorithms; nonlinear adaptive filtering; and subband adaptive filters.

Companion Software: A set of MATLAB M-files is available. Retrieve companion software