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Convex Optimization in Signal Processing and Communications
 
 
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Convex Optimization in Signal Processing and Communications [Hardcover]

Daniel P. Palomar , Yonina C. Eldar

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Product Description

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.

Book Description

Leading experts provide the theoretical underpinnings of the subject plus tutorials on a wide range of applications, from automatic code generation to robust broadband beamforming. Emphasis on cutting-edge research and formulating problems in convex form make this an ideal textbook for advanced graduate courses and a useful self-study guide.

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1 of 6 people found the following review helpful:
5.0 out of 5 stars great book, great conditions, 24 Jun 2010
By Gonzalo Garateguy - Published on Amazon.com
This review is from: Convex Optimization in Signal Processing and Communications (Hardcover)
the book arrive in perfect conditions, and it is a very good and up to date book. I strongly recommend this book for anyone working in modern techniques for signal processing and communications
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