Theory and Design of Adaptive Filters (Hardcover)

Designed for graduate level courses in adaptive filtering and to serve as a valuable reference for practicing engineers.

The authors develop the basic rules and algorithms for filter performance and provide tools for design, along with an appreciation of the complexity of behavioral analysis. Derivations and convergence discussions are kept to a basic level. The presentation focuses on a few principles and applies them to a series of motivating examples, that include in-depth discussion of implementation aspects for filter design not found in other texts. Rather than superficially examining an extensive list of possible applications benefiting from adaptive filter use, the authors examine four such problems in detail and review the common attributes that are shared with many other applications of adaptive filtering

Table of Contents

1. The Need for Adaptive Filtering.
2. Basic Principles.
3. Framework for Algorithm Development.
4. Adaptive FIR Filters.
5. Adaptive IIR Filters.
6. Adaptive Algorithms for Restoring Signal Properties.
7. Implementational Issues.
8. Design Example: Hum Removal.
9. Design Example: Multipath Corrections.
10. Design Example: Channel Modeling.
11. Design Example: Antenna Array.
12. Epilogue.
Bibliography.

設計用於研究生級別的自適應濾波課程，並作為實踐工程師的寶貴參考資料。作者們發展了濾波性能的基本規則和算法，並提供設計工具，同時對行為分析的複雜性有所認識。推導和收斂討論保持在基本水平上。該書的呈現重點在於幾個原則，並將它們應用於一系列引人入勝的例子中，其中包括對濾波器設計的實現方面進行深入討論，這在其他文獻中找不到。作者們並未膚淺地檢視大量可能受益於自適應濾波器使用的應用，而是詳細研究了其中四個問題，並回顧了與許多其他自適應濾波應用共享的共同特點。

目錄：
1. 自適應濾波的需求。
2. 基本原則。
3. 算法開發框架。
4. 自適應FIR濾波器。
5. 自適應IIR濾波器。
6. 恢復信號特性的自適應算法。
7. 實施問題。
8. 設計示例：去除嗡嗡聲。
9. 設計示例：多路徑校正。
10. 設計示例：通道建模。
11. 設計示例：天線陣列。
12. 結語。
參考文獻。