Adaptive Filters Theory And Applications - Tapa dura

Adaptive filtering is an advanced and growing field in signal processing. This text combines a valuable student resource with a useful technical reference for signal processing engineers. It offers theoretical coverage complemented by many application examples. The accompanying diskette contains MATLAB simulation programs for in-depth insight into adaptive filtering concepts. The text begins with a general overview of adaptive filters and popular applications. Subsequent chapters range from discrete-time signals and systems, to Wiener filters and recursive least-square algorithms. Also included is a section on eigenanalysis which looks at the mathematics required for the study of filters.

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.