Adaptive Filtering by Paulo S.R. Diniz

From the Publisher

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of 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.

The book has a solutions manual that is available from the publisher for instructors. Another resource for instructors is a set of master transparencies as a MATLAB Package including the MATLAB codes for all the algorithms described in the text which is available from the author. The author also has a webpage for the book.

Booknews

A textbook for a graduate or undergraduate course in adaptive signal processing, for students with previous background in the basic principles of digital signal processing and stochastic processes. Focuses on describing a large number of algorithms rather than adapting notation and derivations, and shows how they work in a finite-precision implementation. Annotation c. by Book News, Inc., Portland, Or.

Product Details

• Table of Contents

Table of Contents