LEADER 05459nam 2200721Ia 450 001 996203312203316 005 20230607220819.0 010 $a1-280-54186-5 010 $a9786610541867 010 $a0-470-34071-1 010 $a0-471-22108-2 010 $a0-471-46382-5 010 $a1-60119-558-3 035 $a(CKB)1000000000328760 035 $a(EBL)214301 035 $a(OCoLC)808033496 035 $a(SSID)ssj0000992564 035 $a(PQKBManifestationID)11520589 035 $a(PQKBTitleCode)TC0000992564 035 $a(PQKBWorkID)10934717 035 $a(PQKB)10622634 035 $a(SSID)ssj0000080396 035 $a(PQKBManifestationID)11120462 035 $a(PQKBTitleCode)TC0000080396 035 $a(PQKBWorkID)10095459 035 $a(PQKB)11496662 035 $a(MiAaPQ)EBC214301 035 $a(iGPub)WILEYB0030791 035 $a(EXLCZ)991000000000328760 100 $a20080719e20011968 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDetection, estimation, and modulation theory$hPart 1$iDetection, estimation, and linear modulation theory$b[electronic resource] /$fHarry L. Van Trees 210 $aNew York $cWiley$dc2001 215 $a1 online resource (714 p.) 300 $aOriginally published: 1968. 311 $a0-471-09517-6 320 $aIncludes bibliographical references and indexes. 327 $aContents; 1 Introduction; 1.1 Topical Outline; 1.2 Possible Approaches; 1.3 Organization; 2 Classical Detection and Estimation Theory; 2.1 Introduction; 2.2 Simple Binary Hypothesis Tests; Decision Criteria; Performance: Receiver Operating Characteristic; 2.3 M Hypotheses; 2.4 Estimation Theory; Random Parameters: Bayes Estimation; Real (Nonrandom) Parameter Estimation; Multiple Parameter Estimation; Summary of Estimation Theory; 2.5 Composite Hypotheses; 2.6 The General Gaussian Problem; Equal Covariance Matrices; Equal Mean Vectors; Summary; 2.7 Performance Bounds and Approximations 327 $a2.8 Summary2.9 Problems; References; 3 Representations of Random Processes; 3.1 Introduction; 3.2 Deterministic Functions: Orthogonal Representations; 3.3 Random Process Characterization; Random Processes: Conventional Characterizations; Series Representation of Sample Functions of Random Processes; Gaussian Processes; 3.4 Homogeneous Integral Equations and Eigenfunctions; Rational Spectra; Bandlimited Spectra; Nonstationary Processes; White Noise Processes; The Optimum Linear Filter; Properties of Eigenfunctions and Eigenvalues; 3.5 Periodic Processes 327 $a3.6 Infinite Time Interval: Spectral DecompositionSpectral Decomposition; An Application of Spectral Decomposition: MAP Estimation of a Gaussian Process; 3.7 Vector Random Processes; 3.8 Summary; 3.9 Problems; References; 4 Detection of Signals-Estimation of Signal Parameters; 4.1 Introduction; Models; Format; 4.2 Detection and Estimation in White Gaussian Noise; Detection of Signals in Additive White Gaussian Noise; Linear Estimation; Nonlinear Estimation; Summary : Known Signals in White Gaussian Noise; 4.3 Detection and Estimation in Nonwhite Gaussian Noise; ""Whitening"" Approach 327 $aA Direct Derivation Using the Karhunen-Loeve ExpansionA Direct Derivation with a Sufficient Statistic; Detection Performance; Estimation; Solution Techniques for Integral Equations; Sensitivity; Known Linear Channels; 4.4 Signals with Unwanted Parameters: The Composite Hypothesis Problem; Random Phase Angles; Random Amplitude and Phase; 4.5 Multiple Channels; Formulation; Application; 4.6 Multiple Parameter Estimation; Additive White Gaussian Noise Channel; Extensions; 4.7 Summary and Omissions; Summary; Topics Omitted; 4.8 Problems; References; 5 Estimation of Continuous Waveforms 327 $a5.1 Introduction5.2 Derivation of Estimator Equations; No-Memory Modulation Systems; Modulation Systems with Memory; 5.3 A Lower Bound on the Mean-Square Estimation Error; 5.4 Multidimensional Waveform Estimation; Examples of Multidimensional Problems; Problem Formulation; Derivation of Estimator Equations; Lower Bound on the Error Matrix; Colored Noise Estimation; 5.5 Nonrandom Waveform Estimation; 5.6 Summary; 5.7 Problems; References; 6 Linear Estimation; 6.1 Properties of Optimum Processors; 6.2 Realizable Linear Filters: Stationary Processes, Infinite Past: Wiener Filters 327 $aSolution of Wiener-Hopf Equation 330 $aHighly readable paperback reprint of one of the great time-tested classics in the field of signal processingTogether with the reprint of Part III and the new Part IV, this will be the most complete treatment of the subject availableAs imperative today as it was when it originally publishedHas important applications in radar, sonar, communications, seismology, biomedical engineering, and astronomyIncludes section summaries, examples, and a large number of problems 606 $aSignal theory (Telecommunication) 606 $aModulation theory 606 $aEstimation theory 615 0$aSignal theory (Telecommunication) 615 0$aModulation theory. 615 0$aEstimation theory. 676 $a621.381536 700 $aVan Trees$b Harry L$02732 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996203312203316 996 $aDetection, estimation, and modulation theory$941310 997 $aUNISA LEADER 01121oam 2200373 450 001 9910794401703321 005 20230630000352.0 010 $a0-8308-4722-7 035 $a(CKB)4100000011779916 035 $a(MiAaPQ)EBC6484917 035 $a(EXLCZ)994100000011779916 100 $a20210710d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe art of dying $eliving fully into the life to come /$fRob Moll ; afterword by Clarissa Moll 210 1$aDowners Grove, Illinois :$cIVP, an imprint of InterVarsity Press,$d[2021] 210 4$d©2021 215 $a1 online resource (207 pages) 311 $a0-8308-4721-9 606 $aDeath$xReligious aspects$xChristianity 615 0$aDeath$xReligious aspects$xChristianity. 676 $a236.1 700 $aMoll$b Rob$f1977-$01472233 702 $aMoll$b Clarissa 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910794401703321 996 $aThe art of dying$93684955 997 $aUNINA