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ORCIDConvex Optimization in Signal Processing and Communications, 2010
- Daniel P. Palomar, Yonina C. Eldar:
Convex Optimization in Signal Processing and Communications. Cambridge University Press 2010, ISBN 978-0-521-76222-9 - Jacob Mattingley, Stephen P. Boyd:
Automatic code generation for real-time convex optimization. Convex Optimization in Signal Processing and Communications 2010: 1-41 - Amir Beck, Marc Teboulle:
Gradient-based algorithms with applications to signal-recovery problems. Convex Optimization in Signal Processing and Communications 2010: 42-88 - Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe:
Graphical models of autoregressive processes. Convex Optimization in Signal Processing and Communications 2010: 89-116 - Zhi-Quan Luo, Tsung-Hui Chang:
SDP relaxation of homogeneous quadratic optimization. Convex Optimization in Signal Processing and Communications 2010: 117-165 - Anthony Man-Cho So, Yinyu Ye:
Probabilistic analysis of SDR detectors for MIMO systems. Convex Optimization in Signal Processing and Communications 2010: 166-191 - Yongwei Huang, Antonio De Maio, Shuzhong Zhang:
Semidefinite programming, matrix decomposition, and radar code design. Convex Optimization in Signal Processing and Communications 2010: 192-228 - Wing-Kin Ma, Tsung-Han Chan, Chong-Yung Chi, Yue Wang:
Convex analysis for non-negative blind source separation with application in imaging. Convex Optimization in Signal Processing and Communications 2010: 239-265 - Tomer Michaeli, Yonina C. Eldar:
Optimization techniques in modern sampling theory. Convex Optimization in Signal Processing and Communications 2010: 266-314 - Michael Rübsamen, Amr El-Keyi, Alex B. Gershman, Thia Kirubarajan:
Robust broadband adaptive beamforming using convex optimization. Convex Optimization in Signal Processing and Communications 2010: 315-339 - Angelia Nenadic, Asuman E. Ozdaglar:
Cooperative distributed multi-agent optimization. Convex Optimization in Signal Processing and Communications 2010: 340-386 - Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa:
Competitive optimization of cognitive radio MIMO systems via game theory. Convex Optimization in Signal Processing and Communications 2010: 387-442 - Francisco Facchinei, Jong-Shi Pang:
Nash equilibria: the variational approach. Convex Optimization in Signal Processing and Communications 2010: 443-493
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