کتابخانه

Fundamentals of Adaptive Filtering 

Sayed, Ali H. | Wiley | 2003 | English | Pages 1161 | ISBN: 978-1-60119-562-3, 978-0-471-46126-5 | 32 MB | pdf

Written for graduate-level courses, this book presents the theory and application of adaptive filters. Topics covered include linear and decision-feedback equalization, channel estimation, beamforming, tracking of fading channels, echo cancellation, and active noise control.

Table of contents :

Content:
Front Matter
Preface
• Table of Contents
1. Optimal Estimation
2. Linear Estimation
3. Constrained Linear Estimation
4. Steepest-Descent Algorithms
5. Stochastic-Gradient Algorithms
6. Steady-State Performance of Adaptive Filters
7. Tracking Performance of Adaptive Filters
8. Finite Precision Effects
9. Transient Performance of Adaptive Filters
10. Block Adaptive Filters
11. The Least-Squares Criterion
12. Recursive Least-Squares
13. RLS Array Algorithms
14. Fast Fixed-Order Filters
15. Lattice Filters
16. Laguerre Adaptive Filters
17. Robust Adaptive Filters
• Bibliography
Author Index
Subject Index