適応フィルタ理論（第５版） Adaptive Filter Theory (IE) （5TH）

Haykin, Simon

Pearson Education（2013/08発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 936 p.
• 商品コード 9780273764083
• DDC分類 621.3815324

基本説明

4th edition: 2001.

Full Description

<> Adaptive Filter Theory, 5e, is ideal for courses in Adaptive Filters.

Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.

Contents

Chapter 1            Stochastic Processes and Models
Chapter 2            Wiener Filters
Chapter 3            Linear Prediction
Chapter 4            Method of Steepest Descent
Chapter 5            Method of Stochastic Gradient Descent
Chapter 6            The Least-Mean-Square (LMS) Algorithm
Chapter 7            Normalized Least-Mean-Square (LMS) Algorithm and Its Generalization
Chapter 8            Block-Adaptive Filters
Chapter 9            Method of Least Squares
Chapter 10            The Recursive Least-Squares (RLS) Algorithm
Chapter 11            Robustness
Chapter 12            Finite-Precision Effects
Chapter 13            Adaptation in Nonstationary Environments
Chapter 14            Kalman Filters
Chapter 15            Square-Root Adaptive Filters
Chapter 16            Order-Recursive Adaptive Filters
Chapter 17            Blind Deconvolution