
Overview
- Provides a comprehensive framework of QRD-RLS adaptive filtering
- Compiles the research of more than a decade into a single publication
- Includes an important class of algorithms that are efficient in terms of speed of convergence, computational complexity, and numerical stability
- Covers algorithms for many scenarios such as single channel, multichannel, and output filtering
- Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
Reviews
From the reviews:
“Starting with a review of the history and the essential concepts in (numerical) linear algebra that are essential in the development of QR decomposition, the book continues with an overview of adaptive filtering techniques, including LMS and RLS algorithms. … The chapters flow on nicely from one to the other, and the editor is to be congratulated on achieving this. The book is a useful and welcome contribution to the broad topic of numerical linear algebra.” (Andrew Dale, Zentralblatt MATH, Vol. 1170, 2009)Bibliographic Information
Book Title: QRD-RLS Adaptive Filtering
Editors: José Antonio Apolinário
DOI: https://doi.org/10.1007/978-0-387-09734-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-09733-6Published: 11 February 2009
Softcover ISBN: 978-1-4419-3526-7Published: 29 October 2010
eBook ISBN: 978-0-387-09734-3Published: 05 April 2009
Edition Number: 1
Number of Pages: XX, 356
Topics: Signal, Image and Speech Processing, Communications Engineering, Networks, Control, Robotics, Mechatronics, Electrical Engineering