LEADER 05368nam 2200733Ia 450 001 9911019970903321 005 20200520144314.0 010 $a9786610541850 010 $a9781280541858 010 $a1280541857 010 $a9780470346655 010 $a0470346655 010 $a9780471463818 010 $a0471463817 010 $a9780471221098 010 $a0471221090 010 $a9781601195579 010 $a1601195575 035 $a(CKB)111087027107990 035 $a(EBL)214300 035 $a(OCoLC)808033491 035 $a(SSID)ssj0000071721 035 $a(PQKBManifestationID)11107228 035 $a(PQKBTitleCode)TC0000071721 035 $a(PQKBWorkID)10111424 035 $a(PQKB)10951485 035 $a(MiAaPQ)EBC214300 035 $a(Perlego)2757773 035 $a(EXLCZ)99111087027107990 100 $a20020425g20012002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDetection, estimation, and modulation theory$hPart III$iRasar-sonor signal processing and Gaussian signals in noise /$fHarry L. Van Trees 210 $aNew York $cWiley$d2001 215 $a1 online resource (647 p.) 300 $aDescription based upon print version of record. 311 08$a9780471107934 311 08$a047110793X 320 $aIncludes bibliographical references and indexes. 327 $aContents; 1 Introduction; 1.1 Review of Parts I and II; 1.2 Random Signals in Noise; 1.3 Signal Processing in Radar-Sonar Systems; References; 2 Detection of Gaussian Signals in White Gaussian Noise; 2.1 Optimum Receivers; 2.1.1 Canonical Realization No. 1: Estimator-Correlator; 2.1.2 Canonical Realization No. 2: Filter-Correlator Receiver; 2.1.3 Canonical Realization No. 3: Filter-Squarer-Integrator (FSI) Receiver; 2.1.4 Canonical Realization No. 4: Optimum Realizable Filter Receiver; 2.1.5 Canonical Realization No. 4S: State-variable Realization; 2.1.6 Summary: Receiver Structures 327 $a2.2 Performance2.2.1 Closed-form Expression for ?(s); 2.2.2 Approximate Error Expressions; 2.2.3 An Alternative Expression for ?[sub(R)](S); 2.2.4 Performance for a Typical System; 2.3 Summary: Simple Binary Detection; 2.4 Problems; References; 3 General Binary Detection: Gaussian Processes; 3.1 Model and Problem Classification; 3.2 Receiver Structures; 3.2.1 Whitening Approach; 3.2.2 Various Implementations of the Likelihood Ratio Test; 3.2.3 Summary: Receiver Structures; 3.3 Performance; 3.4 Four Special Situations; 3.4.1 Binary Symmetric Case; 3.4.2 Non-zero Means 327 $a3.4.3 Stationary ""Carrier-symmetric"" Bandpass Problems3.4.4 Error Probability for the Binary Symmetric Bandpass Problem; 3.5 General Binary Case: White Noise Not Necessarily Present: Singular Tests; 3.5.1 Receiver Derivation; 3.5.2 Performance: General Binary Case; 3.5.3 Singularity; 3.6 Summary: General Binary Problem; 3.7 Problems; References; 4 Special Categories of Detection Problems; 4.1 Stationary Processes: Long Observation Time; 4.1.1 Simple Binary Problem; 4.1.2 General Binary Problem; 4.1.3 Summary: SPLOT Problem; 4.2 Separable Kernels; 4.2.1 Separable Kernel Model 327 $a4.2.2 Time Diversity4.2.3 Frequency Diversity; 4.2.4 Summary: Separable Kernels; 4.3 Low-Energy-Coherence (LEC) Case; 4.4 Summary; 4.5 Problems; References; 5 Discussion: Detection of Gaussian Signals; 5.1 Related Topics; 5.1.1 M-ary Detection: Gaussian Signals in Noise; 5.1.2 Suboptimum Receivers; 5.1.3 Adaptive Receivers; 5.1.4 Non-Gaussian Processes; 5.1.5 Vector Gaussian Processes; 5.2 Summary of Detection Theory; 5.3 Problems; References; 6 Estimation of the Parameters of a Random Process; 6.1 Parameter Estimation Model; 6.2 Estimator Structure 327 $a6.2.1 Derivation of the Likelihood Function6.2.2 Maximum Likelihood and Maximum A-Posteriori Probability Equations; 6.3 Performance Analysis; 6.3.1 A Lower Bound on the Variance; 6.3.2 Calculation of J[sup(2)](A); 6.3.3 Lower Bound on the Mean-Square Error; 6.3.4 Improved Performance Bounds; 6.4 Summary; 6.5 Problems; References; 7 Special Categories of Estimation Problems; 7.1 Stationary Processes: Long Observation Time; 7.1.1 General Results; 7.1.2 Performance of Truncated Estimates; 7.1.3 Suboptimum Receivers; 7.1.4 Summary; 7.2 Finite-State Processes; 7.3 Separable Kernels 327 $a7.4 Low-Energy-Coherence Case 330 $aPaperback reprint of one of the most respected classics in the history of engineering publicationTogether with the reprint of Part I and the new Part IV, this will be the most complete treatment of the subject availableProvides a highly-readable discussion of Signal Processing and NoiseFeatures numerous problems and illustrations to help promote understanding of the topicsContents are highly applicable to current systems 606 $aSignal theory (Telecommunication) 606 $aModulation (Electronics) 606 $aEstimation theory 615 0$aSignal theory (Telecommunication) 615 0$aModulation (Electronics) 615 0$aEstimation theory. 676 $a621.381536 700 $aVan Trees$b Harry L$02732 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019970903321 996 $aDetection, estimation, and modulation theory$941310 997 $aUNINA