TY  - BOOK
AU  - Palomar,Daniel P.
AU  - Eldar,Yonina C.
TI  - Convex optimization in signal processing and communications
SN  - 9780511804458 (ebook)
AV  - TK5102.9 .C587 2010
U1  - 621.3822015196 22
PY  - 2010///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Signal processing
KW  - Mathematical optimization
KW  - Convex functions
N1  - Title from publisher's bibliographic system (viewed on 05 Oct 2015)
N2  - 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
UR  - https://doi.org/10.1017/CBO9780511804458
ER  -