Adaptive Filtering Algorithms and Practical Implementation /

Mostrar otras versiones (1)

Adaptive Filtering: Algorithms and Practical Implementation, Third Edition, presents basic concepts of adaptive signal processing and filtering in a concise and straightforward manner. It concentrates on on-line algorithms whose adaptation occurs whenever a new sample of each environment signal is a...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Diniz, Paulo S. R. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2008.
Edición:3rd ed. 2008.
Temas:
Signal processing.
Telecommunication.
Electronic circuits.
Control engineering.
Robotics.
Automation.
Dynamics.
Nonlinear theories.
Electrical engineering.
Signal, Speech and Image Processing .
Communications Engineering, Networks.
Electronic Circuits and Systems.
Control, Robotics, Automation.
Applied Dynamical Systems.
Electrical and Electronic Engineering.
Acceso en línea:Texto Completo
Descripción
Sumario:Adaptive Filtering: Algorithms and Practical Implementation, Third Edition, presents basic concepts of adaptive signal processing and filtering in a concise and straightforward manner. It concentrates on on-line algorithms whose adaptation occurs whenever a new sample of each environment signal is available. The material also illustrates block algorithms using a sub-band filtering framework whose adaptation occurs when a new block of data is available. Highlights of the new edition include: Expanded treatment of complex algorithms throughout the book New chapters on Data-Selective and Blind Adaptive Filtering An enlarged discussion of linear-constrained Wiener filters Detailed analysis of the affine projection algorithm Updated derivations and many new examples A primer on Kalman filtering in Appendix D as a complement to RLS algorithms. Algorithms are presented in a unified framework using a consistent notation that facilitates their actual implementation. The main algorithms are summarized and described in tables. Many examples address problems drawn from actual applications. The family of LMS and RLS algorithms as well as set-membership, sub-band, blind, nonlinear and IIR adaptive filtering, are covered. Problems are included at the end of chapters. Adaptive Filtering: Algorithms and Practical Implementation, Third Edition, is intended for advanced undergraduate and graduate students studying adaptive filtering and will also serve as an up-to-date and useful reference for professional engineers working in the field.
Descripción Física:XXIV, 627 p. online resource.
ISBN:9780387686066

Ejemplares similares