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Book synopsis

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 details

Book category Books in English Mathematics & science Mathematics Optimization

• Full title: Convex Optimization in Signal Processing and Communications
• Author: Daniel P Palomar
• Language: English
• Binding: Hardback
• Number of pages: 512
• EAN: 9780521762229
• ISBN: 0521762227
• ID: 04378821
• Publisher: Cambridge University Press
• Weight: 1148 g
• Dimensions: 259 × 182 × 29 mm
• Date of publishing: 03. December 2009

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