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Item Details
| Title:
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CONVEX OPTIMIZATION IN SIGNAL PROCESSING AND COMMUNICATIONS
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| By: |
Daniel P. Palomar (Editor), Yonina C. Eldar (Editor) |
| Format: |
Hardback |
| List price:
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£93.99 |
| Our price: |
£82.24 |
| Discount: |
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| You save:
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£11.75 |
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| ISBN 10: |
0521762227 |
| ISBN 13: |
9780521762229 |
| Availability: |
Usually dispatched within 1-3 weeks.
 Delivery
rates
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| Stock: |
Currently 0 available |
| Publisher: |
CAMBRIDGE UNIVERSITY PRESS |
| Pub. date: |
3 December, 2009 |
| Pages: |
512 |
| Description: |
Leading experts provide the theoretical underpinnings of the subject and tutorials on a wide variety of key applications. |
| Synopsis: |
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. |
| Illustrations: |
95 b/w illus. 16 tables 5 exercises |
| Publication: |
UK |
| Imprint: |
Cambridge University Press |
| Returns: |
Returnable |
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