This book provides tools and knowledge in a simple way such that the reader is able to implement a particular QRD-RLS algorithm tailored for the application at hand. The material presents not only classical and recent research results but also the expertise of a number of authors that have contributed to the development of this fast converging class of adaptive filter algorithms. The intended audience encompasses graduate students, researchers, and practitioners working in the field of adaptive filtering or in need of using a robust and fast converging algorithm. 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 outputfiltering INDICE: QR Decomposition: An Annotated Bibliography.- Introduction to Adaptive Filters.- Conventional and Inverse QRD-RLS Algorithms.- Fast QRD-RLS Algorithms.- QRD Least-Squares Lattice Algorithms.- Multichannel Fast QRD-RLS Algorithms.- Householder-Based RLS Algorithms.- Numerical Stability Properties.- Finite and Infinite Precision Properties of QRD-RLS Algorithms.- On Pipelined Implementations of QRD-RLS Adaptive Filters.- Weight Extraction of Fast QRD-RLSAlgorithms.- Linear Constrained QRD-Based Algorithm.
- ISBN: 978-0-387-09733-6
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 385
- Fecha Publicación: 01/03/2009
- Nº Volúmenes: 1
- Idioma: Inglés