| 000 | 02374nam a22003618i 4500 | ||
|---|---|---|---|
| 001 | CR9780511804458 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160315.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 101021s2010||||enk o ||1 0|eng|d | ||
| 020 | _a9780511804458 (ebook) | ||
| 020 | _z9780521762229 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aTK5102.9 _b.C587 2010 |
| 082 | 0 | 4 |
_a621.3822015196 _222 |
| 245 | 0 | 0 |
_aConvex optimization in signal processing and communications / _cedited by Daniel P. Palomar and Yonina C. Eldar. |
| 246 | 3 | _aConvex Optimization in Signal Processing & Communications | |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2010. |
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| 300 |
_a1 online resource (xiv, 498 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aOver 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. | ||
| 650 | 0 | _aSignal processing. | |
| 650 | 0 | _aMathematical optimization. | |
| 650 | 0 | _aConvex functions. | |
| 700 | 1 |
_aPalomar, Daniel P., _eeditor. |
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| 700 | 1 |
_aEldar, Yonina C., _eeditor. |
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| 776 | 0 | 8 |
_iPrint version: _z9780521762229 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511804458 |
| 999 |
_c521350 _d521348 |
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