Fundamentals of Adaptive Filtering
Wiley - IEEE (Series Nr. 1)
1. Edition June 2003
1168 Pages, Hardcover
Wiley & Sons Ltd
Short Description
Adaptive systems, which change in behavior depending on external circumstances, have been an important area of research for many years. Engineers have been designing adaptive systems, and many architectures, techniques, and adaptation algorithms have been proposed. Adaptive filters play an important role in many different applications in telecommunications, control, and seismic exploration systems, such as channel equalization, adaptive signal modeling for speech synthesis, system identification, echo and noise cancellation, and predictive deconvolution. Fundamentals of Adaptive Filtering fills a need for a well-written, accessible yet comprehensive book designed for practical implementation issues as well as the theoretical basis for engineering choices.
This book is based on a graduate level course offered by the author at UCLA and has been classed tested there and at other universities over a number of years. This will be the most comprehensive book on the market today providing instructors a wide choice in designing their courses.
* Offers computer problems to illustrate real life applications for students and professionals alike
* There will be an Instructor's Manual presenting detailed solutions to all the problems in the book
Acknowledgments.
Notation.
Symbols.
Optimal Estimation.
Linear Estimation.
Constrained Linear Estimation.
Steepest-Descent Algorithms.
Stochastic-Gradient Algorithms.
Steady-State Performance of Adaptive Filters.
Tracking Performance of Adaptive Filters.
Finite Precision Effects.
Transient Performance of Adaptive Filters.
Block Adaptive Filters.
The Least-Squares Criterion.
Recursive Least-Squares.
RLS Array Algorithms.
Fast Fixed-Order Filters.
Lattice Filters.
Laguerre Adaptive Filters.
Robust Adaptive Filters.
Bibliography.
Author Index.
Subject Index.
