| 書目名稱 | Theory of Affine Projection Algorithms for Adaptive Filtering | | 編輯 | Kazuhiko Ozeki | | 視頻video | http://file.papertrans.cn/924/923756/923756.mp4 | | 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 | | 叢書名稱 | Mathematics for Industry | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | APA; Adaptive filtering; Affine Projection Algorithm; Affine projection; Computational complexity of APA | | 版次 | 1 | | doi | https://doi.org/10.1007/978-4-431-55738-8 | | isbn_softcover | 978-4-431-56310-5 | | isbn_ebook | 978-4-431-55738-8Series ISSN 2198-350X Series E-ISSN 2198-3518 | | issn_series | 2198-350X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Japan KK |
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