Convex optimization in signal processing and communications /

Convex optimization in signal processing and communications /

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Bibliographic Details
Imprint:	Cambridge ; New York : Cambridge University Press, ©2010.
Description:	1 online resource (xiv, 498 pages) : illustrations
Language:	English
Subject:	Signal processing. Mathematical optimization. Convex functions. Convex functions. Mathematical optimization. Signal processing. Electronic book.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11825674

Hidden Bibliographic Details
Other authors / contributors:	Palomar, Daniel P. Eldar, Yonina C.
ISBN:	9780511691232 0511691238 9780511692352 0511692358 9780511804458 0511804458 9780521762229 0521762227 1107208122 9781107208124 1282653261 9781282653269 9786612653261 6612653264 0511689756 9780511689758 0511690495 9780511690495 0511689004 9780511689000
Notes:	Includes bibliographical references and index. English. Print version record.
Summary:	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.
Other form:	Print version: Convex optimization in signal processing and communications. Cambridge, UK ; New York : Cambridge University Press, 2010 9780521762229
Standard no.:	9786612653261

Description
Summary:	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.
Physical Description:	1 online resource (xiv, 498 pages) : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9780511691232 0511691238 9780511692352 0511692358 9780511804458 0511804458 9780521762229 0521762227 1107208122 9781107208124 1282653261 9781282653269 9786612653261 6612653264 0511689756 9780511689758 0511690495 9780511690495 0511689004 9780511689000