Adaptive Filtering: Algorithms and Practical Implementation

✍ Scribed by Paulo S. R. Diniz (auth.)

• Publisher: Springer US
• Year: 2008
• Tongue: English
• Leaves: 635
• Edition: 3rd
• Category: Library

✦ Synopsis

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. Includes a CD supplement for instructors and students, offering lecture transparencies as well as MATLAB codes for all algorithms described in the text. The book is also supported by a web page maintained by the author.

✦ Table of Contents

Front Matter....Pages 1-20
Introduction To Adaptive Filtering....Pages 1-12
Fundamentals of Adaptive Filtering....Pages 1-63
The Least-Mean-Square (LMS) Algorithm....Pages 1-54
Lms-Based Algorithms....Pages 1-63
Conventional Rls Adaptive Filter....Pages 1-36
Data-Selective Adaptive Filtering....Pages 1-57
Adaptive Lattice-Based Rls Algorithms....Pages 1-43
Fast Transversal Rls Algorithms....Pages 1-17
Qr-Decomposition-Based Rls Filters....Pages 1-43
Adaptive Iir Filters....Pages 1-55
Nonlinear Adaptive Filtering....Pages 1-34
Subband Adaptive Filters....Pages 1-51
Blind Adaptive Filtering....Pages 1-33
Back Matter....Pages 1-54

✦ Subjects

Signal, Image and Speech Processing;Circuits and Systems;Communications Engineering, Networks;Control , Robotics, Mechatronics;Complexity;Electrical Engineering