Convex Optimization in Signal Processing and Communications (Hardcover)

Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged as a powerful signal processing tool, and the variety of applications continues to grow rapidly. This book, written by a team of leading experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications. Emphasis throughout is on cutting-edge research and on formulating problems in convex form, making this an ideal textbook for advanced graduate courses and a useful self-study guide. Topics covered range from automatic code generation, graphical models, and gradient-based algorithms for signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for image processing, robust broadband beamforming, distributed multi-agent optimization for networked systems, cognitive radio systems via game theory, and the variational inequality approach for Nash equilibrium solutions.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	December 2009
First published:	December 2009
Editors:	Daniel P. Palomar • Yonina C. Eldar
Dimensions:	255 x 185 x 29mm (L x W x T)
Format:	Hardcover
Pages:	512
ISBN-13:	978-0-521-76222-9
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Promotions
LSN:	0-521-76222-7
Barcode:	9780521762229

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