This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes adaptive filtering algorithms are presented in a unifed framework using clear notations that facilitate actual implementation. The main algorithms are described in tables which are detailed enough to allow the reader to verify the learned concepts. Many examples address problems drawn from actual applications. This book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. Several problems are included at the end of chapters and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test all of the algorithms in a fast manner. Additionally, the book provides easy access to working algorithms for practicing engineers. Explains clearly the fundamental, with suitable examples given and practical applications discussed. INDICE: Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Set-Membership Adaptive Filtering.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Blind Adaptive Filtering.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Appendix A: Quantization Effects in the LMS and RLS Algorithms.
- ISBN: 978-0-387-31274-3
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 650
- Fecha Publicación: 01/07/2008
- Nº Volúmenes: 1
- Idioma: Inglés