Convex Optimization in Signal Processing and Communications - 9780521762229
Un libro in lingua di Palomar Daniel P. (EDT) Eldar Yonina C. (EDT) edito da Cambridge Univ Pr, 2010
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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.
Informazioni bibliografiche
- Titolo del Libro in lingua: Convex Optimization in Signal Processing and Communications
- Lingua: English
- Autori : Palomar Daniel P. (EDT) Eldar Yonina C. (EDT)
- Editore: Cambridge Univ Pr
- Collana: Cambridge Univ Pr (Hardcover)
- Data di Pubblicazione: 25 Gennaio '10
- Genere: TECHNOLOGY and ENGINEERING
- Pagine: 498
- Dimensioni mm: 254 x 184 x 31
- ISBN-10: 0521762227
- EAN-13: 9780521762229