Adaptive Filtering Algorithms and Implementation (Second Edition)

Author: (English) Dini / Liu Yulin et al
Publisher:
Publish Date: 2004-07-01
Features:
● The book introduces new content and research findings, including nonlinear adaptive filtering, subband adaptive filtering, linear constrained Wiener filter, behavior analysis of LMS algorithm in fast adaptive implementation, and affine projection algorithm.
● It provides an in-depth discussion of adaptive IIR filters in a dedicated chapter.
● Standard examples are used for simulations to verify and compare different algorithms.
● Numerous examples and references are provided to help readers thoroughly understand the content.
● Many derivations have been optimized and improved based on teaching needs and reader feedback.
This book concisely introduces adaptive filtering theory, presenting as many algorithms as possible in a unified format to avoid redundant algorithms and complex notations. The guiding principle of the book is to reveal the solid theoretical foundation of adaptive filtering, with a focus on algorithms that are truly effective when implemented with finite precision.
Based on the first edition, the second edition of this book adds new content and research findings, including nonlinear adaptive filtering, subband adaptive filtering, linear constrained Wiener filter, behavior analysis of LMS algorithm in fast adaptive implementation, and affine projection algorithm. Additionally, the authors have adjusted and optimized certain parts of the book based on teaching needs and reader feedback.
The book provides a wealth of algorithms, examples, simulation results, and references to help readers gain a deep understanding of the material. Readers are expected to have a grasp of basic principles in digital signal processing and stochastic processes.
This book is suitable as a textbook for senior undergraduate and graduate students in signal processing, communications, circuits and systems, intelligent systems, and related fields. It is also an excellent reference for researchers in these disciplines.