LEADER 00905nam a2200241 i 4500 001 991001932259707536 005 20020507154043.0 008 991019s1960 sp ||| | spa 035 $ab11585158-39ule_inst 035 $aLE02727640$9ExL 040 $aDip.to Studi Giuridici$bita 100 1 $aOrs, Alvaro d'$0171929 245 10$aEstudios visigoticos :$bel codigo de eurico /$cAlvaro D'Ors 260 $aRoma ; Madrid :$c1960 300 $ax, 318 p. 490 0 $aCuadernos del Instituto juridico espaņol ;$v12 500 $aCcosejo superior de investigaciones cientificas-delegacion de Roma 907 $a.b11585158$b01-03-17$c02-07-02 912 $a991001932259707536 945 $aLE027 ARCHI M 454$g1$iLE027-4987$lle027$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11793806$z02-07-02 996 $aEstudios visigoticos$9896264 997 $aUNISALENTO 998 $ale027$b01-01-99$cm$da $e-$fspa$gsp $h0$i1 LEADER 01632oam 2200385Ia 450 001 9910699566203321 005 20230902161545.0 035 $a(CKB)5470000002403263 035 $a(OCoLC)688501006 035 $a(EXLCZ)995470000002403263 100 $a20101201d2010 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aGeneric environmental impact statement for license renewal of nuclear plants$b[electronic resource] $esupplement 41 : regarding Cooper Nuclear Station, Unit 1 : final report 210 1$aWashington, DC :$cU.S. Nuclear Regulatory Commission, Office of Nuclear Reactor Regulation.,$d[2010] 215 $a1 online resource (528 unnumbered pages;) $cillustrations, maps 300 $aTitle from PDF title screen (viewed on Dec. 1, 2010). 300 $a"NUREG-1437, Supplement 41." 300 $a"Manuscript completed: July 2010. Date published: July 2010." 320 $aIncludes bibliographical references. 517 $aGeneric environmental impact statement for license renewal of nuclear plants 606 $aNuclear power plants$xEnvironmental aspects$zNebraska 608 $aEnvironmental impact statements.$2lcgft 615 0$aNuclear power plants$xEnvironmental aspects 712 02$aU.S. Nuclear Regulatory Commission.$bOffice of Nuclear Reactor Regulation. 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910699566203321 996 $aGeneric environmental impact statement for license renewal of nuclear plants$93422612 997 $aUNINA LEADER 05698nam 2200817Ia 450 001 9911020012403321 005 20200520144314.0 010 $a9786610541867 010 $a9781280541865 010 $a1280541865 010 $a9780470340714 010 $a0470340711 010 $a9780471221081 010 $a0471221082 010 $a9780471463825 010 $a0471463825 010 $a9781601195586 010 $a1601195583 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(Perlego)2757687 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 /$fHarry L. Van Trees 210 $aNew York $cWiley$dc2001 215 $a1 online resource (714 p.) 300 $aOriginally published: 1968. 311 08$a9780471095170 311 08$a0471095176 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 517 3 $aDetection, estimation, and linear modulation theory 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 $a9911020012403321 996 $aDetection, estimation, and modulation theory$941310 997 $aUNINA