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 readers 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.
