Adaptive Filtering: Algorithms and Practical Implementation ,4e
暫譯: 自適應濾波:演算法與實務實現(第4版)

Paulo S. R. Diniz

  • 出版商: Springer
  • 出版日期: 2014-09-19
  • 售價: $4,200
  • 貴賓價: 9.5$3,990
  • 語言: 英文
  • 頁數: 652
  • 裝訂: Paperback
  • ISBN: 1489973893
  • ISBN-13: 9781489973894
  • 相關分類: Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

商品描述

In the 4th edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz 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 unified 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 covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes:

  • Analytical and simulation examples in Chapters 4, 5, 6 and 10
  • Appendix E, which summarizes the analysis of set-membership algorithm
  • Updated problems and references

Providing a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, 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 algorithms in a quick manner. Additionally, the book provides easy access to working algorithms for practicing engineers.

商品描述(中文翻譯)

在《自適應濾波:演算法與實務實現》第四版中,作者 Paulo S.R. Diniz 以簡潔明瞭的方式介紹了自適應信號處理和自適應濾波的基本概念。主要的自適應濾波演算法類別在統一的框架中呈現,使用清晰的符號以便於實際實現。

主要演算法以表格形式描述,詳細到足以讓讀者驗證所涵蓋的概念。許多範例針對實際應用中遇到的問題進行探討。本版新增的內容包括:

- 第4、5、6和10章的分析與模擬範例
- 附錄E,總結了集合成員演算法的分析
- 更新的問題和參考文獻

本書提供了自適應濾波的簡明背景,涵蓋了 LMS、仿射投影、RLS 和數據選擇性集合成員演算法的家族,以及非線性、子帶、盲目、IIR 自適應濾波等內容。

每章末尾包含幾個問題,其中一些問題針對應用進行探討。書中提供了一個使用者友好的 MATLAB 套件,讀者可以輕鬆解決新問題並快速測試演算法。此外,本書還提供了方便的工作演算法,供實務工程師練習使用。

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