Adaptive Filters: Theory and Applications

This enlightened engineering approach to the study of adaptive filters employs MATLAB^? computer simulations to clarify theoretical results. A highly accessible text, Adaptive Filters elucidates the concept of convergence and provides many application examples. The comprehensive coverage includes the theory of Wiener filters, eigenanalysis, the complete family of LMS-based algorithms, recursive least-squares and a new treatment of tracking. Features include:

• Accompanying diskette containing the MATLAB programs used throughout the book and providing an insight into adaptive filtering concepts
• End-of-chapter exercises designed to extend results developed in the text and to sharpen the reader?s skill in theoretical development
• MATLAB-based simulation problems which will enhance understanding of the behaviour of different adaptive algorithms
• Thorough treatment of transform domain, frequency domain and subband adaptive filters
• Section on eigenanalysis presenting the essential mathematics for the study of filters

A valuable student resource and an essential technical reference for signal processing engineers in industry, Adaptive Filters presents a broad subject overview with emphasis on new developments and popular applications.

Keywords: Signal Processing, Adaptive Filters, Discrete-Time Systems, Least-Squares Estimation, Echo Cancellation, Active Noise Control, Data Transmission Systems Synchronization, Sensor Array Processing, Code Division Multiple Access Systems, OFDM Communication Systems, MIMO Communication Systems