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Titlebook: Theory of Affine Projection Algorithms for Adaptive Filtering; Kazuhiko Ozeki Book 2016 The Editor(s) (if applicable) and The Author(s), u

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书目名称Theory of Affine Projection Algorithms for Adaptive Filtering
编辑Kazuhiko Ozeki
视频video
概述Constitutes the first comprehensive book focused on the affine projection algorithm.Is written by one of the originators of the affine projection algorithm.Is self-contained with relevant mathematical
丛书名称Mathematics for Industry
图书封面Titlebook: Theory of Affine Projection Algorithms for Adaptive Filtering;  Kazuhiko Ozeki Book 2016 The Editor(s) (if applicable) and The Author(s), u
描述.This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filtering. The APA is a natural generalization of the classical, normalized least-mean-squares (NLMS) algorithm. The book first explains how the APA evolved from the NLMS algorithm, where an affine projection view is emphasized. By looking at those adaptation algorithms from such a geometrical point of view, we can find many of the important properties of the APA, e.g., the improvement of the convergence rate over the NLMS algorithm especially for correlated input signals. After the birth of the APA in the mid-1980s, similar algorithms were put forward by other researchers independently from different perspectives. This book shows that they are variants of the APA, forming a family of APAs. Then it surveys research on the convergence behavior of the APA, where statistical analyses play important roles. It also reviews developments of techniques to reduce the computational complexity of the APA, which are important for real-time processing. It covers a recent study on the kernel APA, which extends the APA so that it is applicable to identification of not only linear systems but also nonli
出版日期Book 2016
关键词APA; Adaptive filtering; Affine Projection Algorithm; Affine projection; Computational complexity of APA
版次1
doihttps://doi.org/10.1007/978-4-431-55738-8
isbn_softcover978-4-431-56310-5
isbn_ebook978-4-431-55738-8Series ISSN 2198-350X Series E-ISSN 2198-3518
issn_series 2198-350X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Japan KK
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