05172nam 2200649Ia 450 991087769600332120200520144314.01-280-54185-797866105418500-470-34665-50-471-46381-70-471-22109-01-60119-557-5(CKB)111087027107990(EBL)214300(OCoLC)808033491(SSID)ssj0000071721(PQKBManifestationID)11107228(PQKBTitleCode)TC0000071721(PQKBWorkID)10111424(PQKB)10951485(MiAaPQ)EBC214300(EXLCZ)9911108702710799020020425g20012002 uy 0engur|n|---|||||txtccrDetection, estimation, and modulation theoryPart IIIRasar-sonor signal processing and Gaussian signals in noise /Harry L. Van TreesNew York Wiley20011 online resource (647 p.)Description based upon print version of record.0-471-10793-X Includes bibliographical references and indexes.Contents; 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 Structures2.2 Performance2.2.1 Closed-form Expression for μ(s); 2.2.2 Approximate Error Expressions; 2.2.3 An Alternative Expression for μ[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 Means3.4.3 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 Model4.2.2 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 Structure6.2.1 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 Kernels7.4 Low-Energy-Coherence CasePaperback 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 systemsSignal theory (Telecommunication)Modulation (Electronics)Estimation theorySignal theory (Telecommunication)Modulation (Electronics)Estimation theory.621.381536Van Trees Harry L2732MiAaPQMiAaPQMiAaPQBOOK9910877696003321Detection, estimation, and modulation theory41310UNINA