عنوان

Convex optimization in signal processing and communications /

0511689004

0511689756

0511690495

0511691238

0511692358

0511804458

1107208122

1282653261

6612653264

9780511689000

9780511689758

9780511690495

9780511691232

9780511692352

9780511804458

9781107208124

9781282653269

9786612653261

0521762227

9780521762229

b766051

Convex optimization in signal processing and communications /

[Book]

edited by Daniel P. Palomar and Yonina C. Eldar.

New York :

Cambridge University Press,

©2010.

1 online resource (xiv, 498 pages) :

illustrations

Includes bibliographical references and index.

1. Automatic code generation for real-time convex optimization / Jacob Mattingley and Stephen Boyd -- 2. Gradient-based algorithmswith applications to signal-recovery problems / Amir Beck and Marc Teboulle -- 3. Graphical models of autoregressive processes / Jitkomut Songsiri, Joachim Dahl and Lieven Vandenberghe -- 4. SDP relaxation of homogeneous quadratic optimization: approximation bounds and applications / Zhi-Quan Luo and Tsung-Hui Chang -- 5. Probabilistic analysis of semidefinite relaxation detectors for multiple-input, multiple-output systems / Anthony Man-Cho So and Yinyu Ye -- 6. Semidefinite programming, matrix decomposition, and radar code design / Yongwei Huang, Antonio De Maio and Shuzhong Zhang -- 7. Convex analysis for non-negative blind source separation with application in imaging / Wing-Kin Ma, Tsung-Han Chan, Chong-Yung Chi and Vue Wang -- 8. Optimization techniques in modern sampling theory / Tomer Michaeli and Yonina C. Eldar -- 9. Robust broadband adaptive beamforming using convex optimization / Michael Rubsamen, Amr El-Keyi, Alex B. Gershman and Thia Kirubarajan -- 10. Cooperative distributed multi-agentoptimization / Angelia Nedic and Asuman Ozdaglar -- 11. Competitive optimization of cognitive radio MIMO systems via game theory / Gesualso Scutari, Daniel P. Palomar and Sergio Barbarossa -- 12. Nash equilibria: the variational approach / Francisco Facchinei and Jong-Shi Pang.

0

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.

MIL

265326

Convex optimization in signal processing and communications.

9780521762229

Convex functions.

Mathematical optimization.

Signal processing.

COMPUTERS-- Information Theory.

Convex functions.

Mathematical optimization.

Signal processing.

TECHNOLOGY & ENGINEERING-- Signals & Signal Processing.

COM-- 031000

PBU, PBW,

TEC-- 067000

Eldar, Yonina C.

Palomar, Daniel P.

20201206112832.0

pn

[Book]

Y