Convex Optimization in Signal Processing and Communications
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Published By Cambridge University Press

9780511804458

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Nash equilibria: the variational approach

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.013 ◽

2011 ◽

pp. 443-493 ◽

Cited By ~ 36

Author(s):

Francisco Facchinei ◽

Jong-Shi Pang

Keyword(s):

Variational Approach ◽

Nash Equilibria

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SDP relaxation of homogeneous quadratic optimization: approximation bounds and applications

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.005 ◽

2011 ◽

pp. 117-165 ◽

Cited By ~ 8

Author(s):

Zhi-Quan Luo ◽

Tsung-Hui Chang

Keyword(s):

Quadratic Optimization ◽

Sdp Relaxation

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Robust broadband adaptive beamforming using convex optimization

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.010 ◽

2011 ◽

pp. 315-339

Author(s):

Michael Rübsamen ◽

Amr El-Keyi ◽

Alex B. Gershman ◽

Thia Kirubarajan

Keyword(s):

Convex Optimization ◽

Adaptive Beamforming ◽

Broadband Adaptive Beamforming

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Cooperative distributed multi-agent optimization

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.011 ◽

2011 ◽

pp. 340-386 ◽

Cited By ~ 22

Author(s):

Angelia Nedić ◽

Asuman Ozdaglar

Keyword(s):

Multi Agent

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Afterword

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.014 ◽

2011 ◽

pp. 494-494

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Competitive optimization of cognitive radio MIMO systems via game theory

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.012 ◽

2011 ◽

pp. 387-442 ◽

Cited By ~ 5

Author(s):

Gesualso Scutari ◽

Daniel P. Palomar ◽

Sergio Barbarossa

Keyword(s):

Game Theory ◽

Cognitive Radio ◽

Mimo Systems

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Semidefinite programming, matrix decomposition, and radar code design

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.007 ◽

2011 ◽

pp. 192-228 ◽

Cited By ~ 4

Author(s):

Yongwei Huang ◽

Antonio De Maio ◽

Shuzhong Zhang

Keyword(s):

Semidefinite Programming ◽

Matrix Decomposition ◽

Code Design

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Gradient-based algorithms with applications to signal-recovery problems

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.003 ◽

2011 ◽

pp. 42-88 ◽

Cited By ~ 61

Author(s):

Amir Beck ◽

Marc Teboulle

Keyword(s):

Signal Recovery ◽

Gradient Based

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Convex analysis for non-negative blind source separation with application in imaging

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.008 ◽

2011 ◽

pp. 229-265 ◽

Cited By ~ 1

Author(s):

Wing-Kin Ma ◽

Tsung-Han Chan ◽

Chong-Yung Chi ◽

Yue Wang

Keyword(s):

Blind Source Separation ◽

Convex Analysis ◽

Source Separation

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Optimization techniques in modern sampling theory

Convex Optimization in Signal Processing and Communications ◽

10.1017/cbo9780511804458.009 ◽

2011 ◽

pp. 266-314

Author(s):

Tomer Michaeli ◽

Yonina C. Eldar

Keyword(s):

Sampling Theory ◽

Optimization Techniques

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Convex Optimization in Signal Processing and CommunicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Cambridge University Press

Nash equilibria: the variational approach

SDP relaxation of homogeneous quadratic optimization: approximation bounds and applications

Robust broadband adaptive beamforming using convex optimization

Cooperative distributed multi-agent optimization

Afterword

Competitive optimization of cognitive radio MIMO systems via game theory

Semidefinite programming, matrix decomposition, and radar code design

Gradient-based algorithms with applications to signal-recovery problems

Convex analysis for non-negative blind source separation with application in imaging

Optimization techniques in modern sampling theory

Convex Optimization in Signal Processing and Communications
Latest Publications