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Convex optimization in signal processing and communications
Hardback
€142.10
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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.
- Product Details
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- ISBN
- 9780521762229
- Format
- Hardback
- Publisher
- Cambridge University Press, (03 December 2009)
- Number of Pages
- 498
- Weight
- 1140 grams
- Language
- English
- Dimensions
- 255 x 185 x 29 mm
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