By Daniel P. Palomar, Yonina C. Eldar
During the last twenty years there were major advances within the box of optimization. particularly, convex optimization has emerged as a robust sign processing device, and the diversity of functions maintains to develop quickly. This ebook, written by means of a crew of major specialists, units out the theoretical underpinnings of the topic and gives tutorials on a variety of convex optimization functions. Emphasis all through is on state-of-the-art learn and on formulating difficulties in convex shape, making this a fantastic textbook for complex graduate classes and an invaluable self-study advisor. subject matters lined variety from computerized code new release, graphical types, and gradient-based algorithms for sign restoration, to semidefinite programming (SDP) leisure and radar waveform layout through SDP. it is also blind resource separation for snapshot processing, powerful broadband beamforming, disbursed multi-agent optimization for networked structures, cognitive radio platforms through online game thought, and the variational inequality process for Nash equilibrium suggestions.
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Extra resources for Convex Optimization in Signal Processing and Communications
Karger, and M. J. Wainwright, “LP decoding,” in Proceedings, Annual Allerton Conference on Communication Control and Computing, vol. 41, no. 2, pp. 951–60, 2003.  J. Feldman, “Decoding error-correcting codes via linear programming,” PhD dissertation, Massachusetts Institute of Technology, 2003.  J. Jalden, C. Martin, and B. Ottersten, “Semideﬁnite programming for detection in linear systems—optimality conditions and space-time decoding,” IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.
4151–61, 2007. -K. Ma, T. N. Davidson, K. M. -Q. -C. Ching, “Quasi-maximumlikelihood multiuser detection using semi-deﬁnite relaxation with application to synchronous CDMA,” IEEE Transactions on Signal Processing, vol. 50, pp. 912–22, 2002. 38 Automatic code generation for real-time convex optimization  F. P. Kelly, A. K. Maulloo, and D. K. H. Tan, “Rate control for communication networks: shadow prices, proportional fairness and stability,” Journal of Operational Research Society, vol. 49, no.
C. Ching, “Quasi-maximumlikelihood multiuser detection using semi-deﬁnite relaxation with application to synchronous CDMA,” IEEE Transactions on Signal Processing, vol. 50, pp. 912–22, 2002. 38 Automatic code generation for real-time convex optimization  F. P. Kelly, A. K. Maulloo, and D. K. H. Tan, “Rate control for communication networks: shadow prices, proportional fairness and stability,” Journal of Operational Research Society, vol. 49, no. 3, pp. 237–52, 1998.  D. X. Wei, C.
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