国外信息科学与技术优秀图书系列·电子学与通信技术：信号处理与通信中的凸优化理论（英文版）

图书标准信息

• 作者 [西]Daniel、[以色列]Yonina C.Eldar 著
• 出版社 科学出版社
• 出版时间 2013-01
• 版次 1
• ISBN 9787030354303
• 定价 118.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 510页
• 字数 640千字
• 丛书 国外信息科学与技术优秀图书系列·电子学与通信技术

【内容简介】

　　凸优化理论是信号处理领域具有重要应用价值的理论分析工具，最近二十年一大批的信号处理问题都基于凸优化理论取得了突破进展。《国外信息科学与技术优秀图书系列·电子学与通信技术：信号处理与通信中的凸优化理论（英文版）》以通信与信号处理中的经典与前沿问题为脉络，深入浅出地介绍了各类凸优化分析的建模方法与基本理论。内容包括图模型理论、基于梯度的信号重建算法、半定松弛（SDP）算法、基于SDP的雷达信号设计、图像处理中的盲信源分离、现代抽样理论，特别是宽带移动通信中的MIMO信号检测、认知无线电中的波束成形理论、分布式多目标优化理论与博弈论等。本书可作为电子与通信工程等相关领域科研人员、工程技术人员的参考书，也可供相关专业高年级本科生、研究生阅读。

【目录】

Listofcontributor
Preface
1Automaticcodegenerationforreal.timeconvexoptimization
JacobMattingleyandStephenBoyd
1.1Introduction
1.2Solverandspecificationlanguages
1.3Examples
1.4Algorithmcorideratior
1.5Codegeneration
1.6CVXMOD：apreliminaryimplementation
1.7Numericalexamples
1.8Summary，conclusior，andimplicatior
Acknowledgments
References
2Gradient-basedalgorithmswithapplicatiortosignal-recoveryproblems
ArnirBeckandMarcTeboulle
2.1Introduction
2.2Thegeneraloptimizationmodel
2.3Buildinggradient-basedschemes
2.4Convergenceresultstortheproximal-gradientmethod
2.5Afastproximal-gradientmethod
2.6AlgorithmsforIt-basedregularizationproblems
2.7TV-basedrestorationproblems
2.8Thesource-localizationproblem
2.9Bibliographicnotes
References
3Graphicalmodelsofautoregressiveprocesses
JitkomutSongsiri，JoachimDahl，andLievenVandenberghe
3.1Introduction
3.2Autoregressiveprocesses
3.3Autoregressivegraphicalmodels
3.4Numericalexamples
3.5Conclusion
Acknowledgments
References
4SDPrelaxationofhomogeneousquadraticoptimization：approximationboundsandapplicatiorZhi-QuanLuoandTsung-HuiChang
4.1Introduction
4.2NonconvexQCQPsandSDPrelaxation
4.3SDPrelaxationforseparablehomogeneousQCQPs
4.4SDPrelaxationformaximizationhomogeneousQCQPs
4.5SDPrelaxationforfractionalQCQPs
4.6MoreapplicatiorofSDPrelaxation
4.7Summaryanddiscussion
Acknowledgments
References
5ProbabilisUcanalysisofsemidefiniterelaxationdetectorformultiple-input，multiple-outputsystems
AnthonyMan-ChoSoandYinyuYe
5.1Introduction
5.2Problemformulation
5.3AnalysisoftheSDRdetectorfortheMPSKcortellatior
5.4ExteriontotheQAMcortellatior
5.5Concludingremarks
Acknowledgments
References
6Semidefiniteprogramming，matrixdecomposition，andradarcodedesign
YongweiHuang，AntonioDeMaio，andShuzhongZhang
6.1Introductionandnotation
6.2Matrixrank-1decomposition
6.3Semidefiniteprogramming
6.4QuadraticallycortrainedquadraticprogramminganditsSDPrelaxation
6.5PolynomiallysolvableQCQPproblems
6.6Theradarcode-designproblem
6.7Performancemeasuresforcodedesign
6.8Optimalcodedesign
6.9Performanceanalysis
6.10Conclusior
References
7Convexanalysisfornon-negativeblindsourceseparationwithapplicationinimaging
Wing-KinMa，Tsung-HanChan，Chong-YungChi，andYueWang
7.1Introduction
7.2Problemstatement
7.3Reviewofsomeconceptsinconvexanalysis
7.4Non-negative，blindsource-separationcriterionviaCAMNS
7.5Systematiclinear-programmingmethodforCAMNS
7.6Alternatingvolume-maximizationheuristicsforCAMNS
7.7Numericalresults
7.8Summaryanddiscussion
Acknowledgments
References
8Optimizationtechniquesinmodernsamplingtheory
TomerMichaeliandYoninaC.Eldar
8.1Introduction
8.2Notationandmathematicalpreliminaries
8.3Samplingandrecortructionsetup
8.4Optimizationmethods
8.5Subspaceprior
8.6Smoothnessprior
8.7Comparisonofthevariousscenarios
8.8Samplingwithnoise
8.9Conclusior
Acknowledgments
References
9Robustbroadbandadaptivebeamformingusingconvexoptimization
MichaelRiibsamen，AmrEI-Keyi，AlexB.Gerhman，andThiaKirubarajan
9.1Introduction
9.2Background
9.3Robustbroadbandbeamformer
9.4Simulatior
9.5Conclusior
Acknowledgments
References
10Cooperativedistributedmulti-agentoptimization
AngeliaNedicandAsumanOzdaglar
10.1Introductionandmotivation
10.2Distributed-optimizationmethodsusingdualdecomposition
10.3Distributed-optimizationmethodsusingcorerusalgorithms
10.4Exterior
10.5Futurework
10.6Conclusior
10.7Problems
References
11CompetitiveoptimizationofcognitiveradioMIMOsystemsviagametheory
GesualsoScutari，DanielP.Palomar，andSergioBarbarossa
11.1Introductionandmotivation
11.2Strategicnon-cooperativegames：basicsolutionconceptsandalgorithms
11.3Opportunisticcommunicatioroverunliceredbands
11.4Opportunisticcommunicatiorunderindividual-interferencecortraints
11.5Opportunisticcommunicatiorunderglobal-interferencecortraints
21.6Conclusior
Acknowledgments
References
12Nashequilibria：thevariationalapproach
FranciscoFacchineiandJong-ShiPang
12.1Introduction
12.2TheNash-equilibriumproblem
12.3Existencetheory
12.4Uniquenesstheory
12.5Seritivityanalysis
12.6Iterativealgorithms
12.7Acommunicationgame
Acknowledgments
References
Afierword
Index