LEADER 05601nam 2200709 a 450 001 9910462883903321 005 20200520144314.0 010 $a1-118-53970-2 010 $a1-118-53992-3 035 $a(CKB)2670000000340410 035 $a(EBL)1166811 035 $a(OCoLC)850209477 035 $a(SSID)ssj0000856001 035 $a(PQKBManifestationID)11488949 035 $a(PQKBTitleCode)TC0000856001 035 $a(PQKBWorkID)10807484 035 $a(PQKB)10435396 035 $a(OCoLC)843193425 035 $a(MiAaPQ)EBC1166811 035 $a(PPN)188242651 035 $a(Au-PeEL)EBL1166811 035 $a(CaPaEBR)ebr10718826 035 $a(CaONFJC)MIL497765 035 $a(EXLCZ)992670000000340410 100 $a20150303d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDetection estimation and modulation theory$hPart I$iDetection, estimation, and filtering theory$b[electronic resource] /$fHarry L. Van Trees, Kristine L. Bell ; with Zhi Tian 205 $a2nd ed. 210 $aHoboken, N.J. $cWiley$dc2013 215 $a1 online resource (1175 p.) 300 $aDescription based upon print version of record. 311 $a0-470-54296-9 320 $aIncludes bibliographical references and index. 327 $aDetection, Estimation, and Modulation Theory: Part I -Detection, Estimation, and Filtering Theory; Contents; Preface; Preface to the First Edition; 1 Introduction; 1.1 Introduction; 1.2 Topical Outline; 1.3 Possible Approaches; 1.4 Organization; 2 Classical Detection Theory; 2.1 Introduction; 2.2 Simple Binary Hypothesis Tests; 2.2.1 Decision Criteria; 2.2.2 Performance: Receiver Operating Characteristic; 2.3 M Hypotheses; 2.4 Performance Bounds and Approximations; 2.5 Monte Carlo Simulation; 2.5.1 Monte Carlo Simulation Techniques; 2.5.2 Importance Sampling; 2.5.2.1 Simulation of PF 327 $a2.5.2.2 Simulation of PM2.5.2.3 Independent Observations; 2.5.2.4 Simulation of the ROC; 2.5.2.5 Examples; 2.5.2.6 Iterative Importance Sampling; 2.5.3 Summary; 2.6 Summary; 2.7 Problems; 3 General Gaussian Detection; 3.1 Detection of Gaussian Random Vectors; 3.1.1 Real Gaussian Random Vectors; 3.1.2 Circular Complex Gaussian Random Vectors; 3.1.3 General Gaussian Detection; 3.1.3.1 Real Gaussian Vectors; 3.1.3.2 Circular Complex Gaussian Vectors; 3.1.3.3 Summary; 3.2 Equal Covariance Matrices; 3.2.1 Independent Components with Equal Variance 327 $a3.2.2 Independent Components with Unequal Variances3.2.3 General Case: Eigendecomposition; 3.2.4 Optimum Signal Design; 3.2.5 Interference Matrix: Estimator-Subtractor; 3.2.6 Low-Rank Models; 3.2.7 Summary; 3.3 Equal Mean Vectors; 3.3.1 Diagonal Covariance Matrix on H0: Equal Variance; 3.3.1.1 Independent, Identically Distributed Signal Components; 3.3.1.2 Independent Signal Components: Unequal Variances; 3.3.1.3 Correlated Signal Components; 3.3.1.4 Low-Rank Signal Model; 3.3.1.5 Symmetric Hypotheses, Uncorrelated Noise; 3.3.2 Nondiagonal Covariance Matrix on H0; 3.3.2.1 Signal on H1 Only 327 $a3.3.2.2 Signal on Both Hypotheses3.3.3 Summary; 3.4 General Gaussian; 3.4.1 Real Gaussian Model; 3.4.2 Circular Complex Gaussian Model; 3.4.3 Single Quadratic Form; 3.4.4 Summary; 3.5 M Hypotheses; 3.6 Summary; 3.7 Problems; 4 Classical Parameter Estimation; 4.1 Introduction; 4.2 Scalar Parameter Estimation; 4.2.1 Random Parameters: Bayes Estimation; 4.2.2 Nonrandom Parameter Estimation; 4.2.3 Bayesian Bounds; 4.2.3.1 Lower Bound on the MSE; 4.2.3.2 Asymptotic Behavior; 4.2.4 Case Study; 4.2.5 Exponential Family; 4.2.5.1 Nonrandom Parameters; 4.2.5.2 Random Parameters 327 $a4.2.6 Summary of Scalar Parameter Estimation4.3 Multiple Parameter Estimation; 4.3.1 Estimation Procedures; 4.3.1.1 Random Parameters; 4.3.1.2 Nonrandom Parameters; 4.3.2 Measures of Error; 4.3.2.1 Nonrandom Parameters; 4.3.2.2 Random Parameters; 4.3.3 Bounds on Estimation Error; 4.3.3.1 Nonrandom Parameters; 4.3.3.2 Random Parameters; 4.3.4 Exponential Family; 4.3.4.1 Nonrandom Parameters; 4.3.4.2 Random Parameters; 4.3.5 Nuisance Parameters; 4.3.5.1 Nonrandom Parameters; 4.3.5.2 Random Parameters; 4.3.5.3 Hybrid Parameters; 4.3.6 Hybrid Parameters; 4.3.6.1 Joint ML and MAP Estimation 327 $a4.3.6.2 Nuisance Parameters 330 $aOriginally published in 1968, Harry Van Trees's Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago. The second edition is a thorough revision and expansion almost doubling the size of the first edition and accounting for the new developments thus making it again the most comprehensive and up-to-date treatment of the subject. With a wide range 606 $aSignal theory (Telecommunication) 606 $aModulation (Electronics) 606 $aEstimation theory 608 $aElectronic books. 615 0$aSignal theory (Telecommunication) 615 0$aModulation (Electronics) 615 0$aEstimation theory. 676 $a621.382/2 700 $aVan Trees$b Harry L$02732 701 $aBell$b Kristine L$0323713 701 $aTian$b Zhi$f1972-$0870576 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910462883903321 996 $aDetection estimation and modulation theory$91943438 997 $aUNINA LEADER 01907nam 2200409Ia 450 001 996393811303316 005 20200824132716.0 035 $a(CKB)4940000000118661 035 $a(EEBO)2240908358 035 $a(OCoLC)ocm24250617e 035 $a(OCoLC)24250617 035 $a(EXLCZ)994940000000118661 100 $a19910819d1586 uy | 101 0 $alat 135 $aurbn||||a|bb| 200 00$aColloquia et dictionariolum septem linguarum, Belgicę, Anglicę, Teutonicę, Latinę, Italicę, Hispanicę, Gallicę ..$b[electronic resource] =$eColloques ou dialogues, auec vn dictionaire en sept languages, Flamen, Anglois, Alleman, Latin, Italien, Espaignol, & Francois ... = Colloquien oft tsamen sprekinghen, met eenen vocabulaer in seuen spraken, Neerduits, Engelsch, Hoochduits, Latin, Italiaens, Spaens, ende Fransois .. 210 $aAntuerpię $cApud Ioachimum Trognęsium$d1586 215 $a[554] p 300 $aBased on No?el de Berlaimont's "Vocabulare," first published in Amsterdam, 1530--Cf. NUC pre-1956 imprints. 300 $a"Cum priuilegio." 300 $aSignatures: A-Z? a-l? m?(last leaf blank). 300 $aThree columns on verso, four columns on recto. 300 $aImperfect: t.p. stained; tightly bound, with slight loss of print. 300 $aReproduction of original in the Bodleian Library. 330 $aeebo-0014 606 $aLanguages, Modern$vConversation and phrase books 606 $aPolyglot glossaries, phrase books, etc 615 0$aLanguages, Modern 615 0$aPolyglot glossaries, phrase books, etc. 701 $aBerlemont$b Noe?l de$fd. 1531.$01004006 801 0$bEBL 801 1$bEBL 801 2$bWaOLN 906 $aBOOK 912 $a996393811303316 996 $aColloquia et dictionariolum septem linguarum, Belgicę, Anglicę, Teutonicę, Latinę, Italicę, Hispanicę, Gallicę$92305836 997 $aUNISA LEADER 04408nam 22008895 450 001 9910483024503321 005 20251113194517.0 010 $a3-540-79721-1 024 7 $a10.1007/978-3-540-79721-0 035 $a(CKB)1000000000440626 035 $a(SSID)ssj0000319883 035 $a(PQKBManifestationID)11225052 035 $a(PQKBTitleCode)TC0000319883 035 $a(PQKBWorkID)10343192 035 $a(PQKB)10316515 035 $a(DE-He213)978-3-540-79721-0 035 $a(MiAaPQ)EBC4975641 035 $a(MiAaPQ)EBC5579478 035 $a(MiAaPQ)EBC6413215 035 $a(MiAaPQ)EBC6413213 035 $a(Au-PeEL)EBL4975641 035 $a(CaONFJC)MIL185523 035 $a(OCoLC)1024284000 035 $a(Au-PeEL)EBL5579478 035 $a(OCoLC)1066196526 035 $a(PPN)127049487 035 $a(EXLCZ)991000000000440626 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aRough Sets and Knowledge Technology $eThird International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings /$fedited by Guoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Yiyu Y. Yao 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (XVIII, 765 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5009 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-79720-3 320 $aIncludes bibliographical references and author index. 327 $aKeynote Papers -- Tutorial Papers (Extended Abstracts) -- Rough and Soft Computing -- Rough Mereology with Applications -- Dominance-Based Rough Set Approach -- Fuzzy-Rough Hybridization -- Granular Computing -- Logical and Mathematical Foundations -- Formal Concept Analysis -- Data Mining -- Machine Learning -- Intelligent Information Processing -- Bioinformatics and Cognitive Informatics -- Web Intelligence -- Pattern Recognition -- Real-Life Applications of Knowledge Technology. 330 $aThis book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Knowledge Technology, RSKT 2008, held in Chengdu, China, in May 2008. The 91 revised full papers papers presented together with 3 keynote papers and 6 tutorial papers were carefully reviewed and selected from 184 submissions. They all focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5009 606 $aArtificial intelligence 606 $aData mining 606 $aDatabase management 606 $aMachine theory 606 $aComputer science 606 $aPattern recognition systems 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aDatabase Management 606 $aFormal Languages and Automata Theory 606 $aTheory of Computation 606 $aAutomated Pattern Recognition 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aDatabase management. 615 0$aMachine theory. 615 0$aComputer science. 615 0$aPattern recognition systems. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aDatabase Management. 615 24$aFormal Languages and Automata Theory. 615 24$aTheory of Computation. 615 24$aAutomated Pattern Recognition. 676 $a006.3 702 $aWang$b Guoyin$f1970- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910483024503321 996 $aRough Sets and Knowledge Technology$9771897 997 $aUNINA