Partial Update Least-Square Adaptive Filtering

Häftad, Engelska, 2014

Del i serien Synthesis Lectures on Communications

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Beskrivning

A partial update method can reduce the adaptive algorithm complexity by updating part of the weight vector instead of the entire vector or by updating part of the time. The performance is also compared among similar PU least-squares adaptive filter algorithms, such as PU RLS, PU CG, and PU EDS.

Produktinformation

Utgivningsdatum:2014-05-19
Mått:191 x 235 x 9 mm
Vikt:240 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Communications
Antal sidor:105
Förlag:Springer International Publishing AG
ISBN:9783031005534
Originaltitel:Partial Update Least-Square Adaptive Filtering

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Mer om författaren

Bei Xie received a PhD in electrical engineering from Virginia Polytechnia University in 2012. Her interests include signal processing and communications.Dr. Tamal Bose serves as Professor and Department Head of Electrical and Computer Engineering at the University of Arizona. He is also the Director of a multi-university NSF Center called the Broadband Wireless Access & Applications Center (BWAC). Dr. Bose's research interests include signal classification for cognitive radios, channel equalization, adaptive filtering algorithms, and nonlinear effects in digital filters. He is author of the text Digital Signal and Image Processing, John Wiley, 2004, and coauthor of Basic Simulation Models of Phase Tracking Devices Using MATLAB, Morgan & Claypool Publishers, 2010.

Innehållsförteckning

Introduction.- Background.- Partial Update CMA-based Algorithms for Adaptive Filtering.- Partial-Update CG Algorithms for Adaptive Filtering.- Partial-Update EDS Algorithms for Adaptive Filtering.- Special Applications of Partial-Update Adaptive Filters.- Bibliography.- Authors' Biographies .