Convex Optimization in Signal Processing and Communications

Convex Optimization in Signal Processing and Communications
  • Engels
  • Hardcover
  • 9780521762229
  • Druk: 1
  • december 2009
  • 512 pagina's
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Samenvatting

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.

Productspecificaties

Inhoud

Taal
Engels
Bindwijze
Hardcover
Druk
1
Verschijningsdatum
december 2009
Aantal pagina's
512 pagina's
Illustraties
Nee

Betrokkenen

Auteur
Daniel P Palomar
Redacteur
Daniel P. Palomar
Co-redacteur
Yonina C. Eldar
Uitgever
Cambridge University Press

EAN

EAN
9780521762229

Overige kenmerken

Extra groot lettertype
Nee
Gewicht
1140 g
Verpakking breedte
185 mm
Verpakking hoogte
29 mm
Verpakking lengte
255 mm

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