Product Description
Adaptive filtering is an advanced and growing field in signal processing. A filter is a transmission network used in electronic circuits for the selective enhancement or reduction of specified components of an input signal. Filtering is achieved by selectively attenuating those components of the input signal which are undesired, relative to those which it is desired to enhance. This comprehensive book is both a valuable student resource and a useful technical reference for signal processing engineers in industry. The author is experienced in teaching graduates and practicing engineers and the text offers good theoretical coverage complemented by plenty of application examples.
From the Back Cover
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.
