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عنوان
Convex optimization in signal processing and communications /

پدید آورنده
edited by Daniel P. Palomar and Yonina C. Eldar.

موضوع
Convex functions.,Mathematical optimization.,Signal processing.,COMPUTERS-- Information Theory.,Convex functions.,Mathematical optimization.,Signal processing.,TECHNOLOGY & ENGINEERING-- Signals & Signal Processing.

رده
QA402
.
5
.
C66
2010eb

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
0511689004
(Number (ISBN
0511689756
(Number (ISBN
0511690495
(Number (ISBN
0511691238
(Number (ISBN
0511692358
(Number (ISBN
0511804458
(Number (ISBN
1107208122
(Number (ISBN
1282653261
(Number (ISBN
6612653264
(Number (ISBN
9780511689000
(Number (ISBN
9780511689758
(Number (ISBN
9780511690495
(Number (ISBN
9780511691232
(Number (ISBN
9780511692352
(Number (ISBN
9780511804458
(Number (ISBN
9781107208124
(Number (ISBN
9781282653269
(Number (ISBN
9786612653261
Erroneous ISBN
0521762227
Erroneous ISBN
9780521762229

NATIONAL BIBLIOGRAPHY NUMBER

Number
b766051

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Convex optimization in signal processing and communications /
General Material Designation
[Book]
First Statement of Responsibility
edited by Daniel P. Palomar and Yonina C. Eldar.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
New York :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
©2010.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xiv, 498 pages) :
Other Physical Details
illustrations

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
1. Automatic code generation for real-time convex optimization / Jacob Mattingley and Stephen Boyd -- 2. Gradient-based algorithmswith applications to signal-recovery problems / Amir Beck and Marc Teboulle -- 3. Graphical models of autoregressive processes / Jitkomut Songsiri, Joachim Dahl and Lieven Vandenberghe -- 4. SDP relaxation of homogeneous quadratic optimization: approximation bounds and applications / Zhi-Quan Luo and Tsung-Hui Chang -- 5. Probabilistic analysis of semidefinite relaxation detectors for multiple-input, multiple-output systems / Anthony Man-Cho So and Yinyu Ye -- 6. Semidefinite programming, matrix decomposition, and radar code design / Yongwei Huang, Antonio De Maio and Shuzhong Zhang -- 7. Convex analysis for non-negative blind source separation with application in imaging / Wing-Kin Ma, Tsung-Han Chan, Chong-Yung Chi and Vue Wang -- 8. Optimization techniques in modern sampling theory / Tomer Michaeli and Yonina C. Eldar -- 9. Robust broadband adaptive beamforming using convex optimization / Michael Rubsamen, Amr El-Keyi, Alex B. Gershman and Thia Kirubarajan -- 10. Cooperative distributed multi-agentoptimization / Angelia Nedic and Asuman Ozdaglar -- 11. Competitive optimization of cognitive radio MIMO systems via game theory / Gesualso Scutari, Daniel P. Palomar and Sergio Barbarossa -- 12. Nash equilibria: the variational approach / Francisco Facchinei and Jong-Shi Pang.
0

SUMMARY OR ABSTRACT

Text of Note
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.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
MIL
Stock Number
265326

OTHER EDITION IN ANOTHER MEDIUM

Title
Convex optimization in signal processing and communications.
International Standard Book Number
9780521762229

TOPICAL NAME USED AS SUBJECT

Convex functions.
Mathematical optimization.
Signal processing.
COMPUTERS-- Information Theory.
Convex functions.
Mathematical optimization.
Signal processing.
TECHNOLOGY & ENGINEERING-- Signals & Signal Processing.

(SUBJECT CATEGORY (Provisional

COM-- 031000
PBU, PBW,
TEC-- 067000

DEWEY DECIMAL CLASSIFICATION

Number
621
.
3822015196
Edition
22

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA402
.
5
Book number
.
C66
2010eb

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Eldar, Yonina C.
Palomar, Daniel P.

ORIGINATING SOURCE

Date of Transaction
20201206112832.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

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