Convex Optimization in Signal Processing and Communications

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Convex Optimization in Signal Processing and Communications
Cambridge University Press | 2010-01-25 | ISBN: 0521762227 | 512 pages | PDF | 5 MB
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.

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏1 回帖

关键词：Optimization Processing processI Process cation Optimization Processing Convex Signal

Table of Contents
1. Automatic code generation for real-time convex optimization J. Mattingley and S. Boyd
2. Gradient-based algorithms with applications to signal recovery problems A. Beck and M. Teboulle
3. Graphical models of autoregressive processes J. Songsiri, J. Dahl and L. Vandenberghe
4. SDP relaxation of homogeneous quadratic optimization Z. Q. Luo and T. H. Chang
5. Probabilistic analysis of SDR detectors for MIMO systems A. Man-Cho So and Y. Ye
6. Semidefinite programming, matrix decomposition, and radar code design Y. Huang, A. De Maio and S. Zhang
7. Convex analysis for non-negative blind source separation with application in imaging W. K. Ma, T. H. Chan, C. Y. Chi and Y. Wang
8. Optimization techniques in modern sampling theory T. Michaeli and Y. C. Eldar
9. Robust broadband adaptive beamforming using convex optimization M. Rübsamen, A. El-Keyi, A. B. Gershman and T. Kirubarajan
10. Cooperative distributed multi-agent optimization A. Nenadić and A. Ozdaglar
11. Competitive optimization of cognitive radio MIMO systems via game theory G. Scutari, D. P. Palomar and S. Barbarossa
12. Nash equilibria: the variational approach F. Facchinei and J. S. Pang.

需要好多钱钱哦，穷人啊！

来看一眼。............

书好贵啊，很想看怎么办呢。。。。

凸分析在工程上的应用非常广泛。

好贵啊，不过是好书~~

好贵啊~~but i think it's worth to buy it!
Thanks.

Thanks, https://bbs.pinggu.org/a-1569917.html

https://bbs.pinggu.org/a-1569917.html   Yes只要一个钱！谢谢