株式会社極東書店トップ ＞ 商品一覧 ＞ Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB (R).
商品詳細
Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB (R).
・ISBN 978-1-138-41791-5 hard GB£ 235.00
￥74,448.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Poularikas, Alexander D., |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2017 |
| ページ数 | 363 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A00-39363＞ |
解説
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area the least mean square (LMS) adaptive filter.
This largely self-contained text:
Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributions
Explains how to find the eigenvalues and eigenvectors of a matrix and the properties of the error surfaces
Explores the Wiener filter and its practical uses, details the steepest descent method, and develops the Newton's algorithm
Addresses the basics of the LMS adaptive filter algorithm, considers LMS adaptive filter variants, and provides numerous examples
Delivers a concise introduction to MATLAB, supplying problems, computer experiments, and more than 110 functions and script files
Featuring robust appendices complete with mathematical tables and formulas, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.