Adaptive Filtering: Algorithms and Practical Implementation (3rd Revised edition)
By: Paulo S. R. Diniz (author)Paperback
1 - 2 weeks availability
This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, using clear notations that facilitate actual implementation. Important algorithms are described in detailed tables which allow the reader to verify learned concepts. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. The book is also supported by a web page maintained by the author.
Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Data-Selective Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Appendix A: Complex Differentiation.- Appendix B: Quantization Effects in the LMS Algorithm.- Appendix C: Quantization Effects in the RLS Algorithm.- Appendix D: Kalman Filters.
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- ID: 9780387312743
3rd Revised edition
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