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.
