|
|
|
|
LEADER |
00000cam a2200000Mu 4500 |
001 |
EBOOKCENTRAL_on1347029292 |
003 |
OCoLC |
005 |
20240329122006.0 |
006 |
m o d |
007 |
cr cnu|||||||| |
008 |
230209s2013 xx o ||| 0 eng d |
040 |
|
|
|a EBLCP
|b eng
|c EBLCP
|d OCLCQ
|d EBLCP
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCL
|d OCLCQ
|
020 |
|
|
|a 9781118539927
|
020 |
|
|
|a 1118539923
|
035 |
|
|
|a (OCoLC)1347029292
|
082 |
0 |
4 |
|a 621.382/2
|q OCoLC
|2 22/eng/20230216
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Van Trees, Harry L.
|
245 |
1 |
0 |
|a Detection Estimation and Modulation Theory, Part I
|h [electronic resource] :
|b Detection, Estimation, and Filtering Theory.
|
260 |
|
|
|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2013.
|
300 |
|
|
|a 1 online resource (1176 p.).
|
490 |
1 |
|
|a New York Academy of Sciences Ser.
|
500 |
|
|
|a Description based upon print version of record.
|
505 |
0 |
|
|a Intro -- Title Page -- Copyright -- Dedication -- Preface -- Preface to the First Edition -- Chapter 1: Introduction -- 1.1 Introduction -- 1.2 Topical Outline -- 1.3 Possible Approaches -- 1.4 Organization -- Chapter 2: Classical Detection Theory -- 2.1 Introduction -- 2.2 Simple Binary Hypothesis Tests -- 2.3 M Hypotheses -- 2.4 Performance Bounds and Approximations -- 2.5 Monte Carlo Simulation -- 2.6 Summary -- 2.7 Problems -- Chapter 3: General Gaussian Detection -- 3.1 Detection of Gaussian Random Vectors -- 3.2 Equal Covariance Matrices -- 3.3 Equal Mean Vectors -- 3.4 General Gaussian
|
505 |
8 |
|
|a 3.5 M Hypotheses -- 3.6 Summary -- 3.7 Problems -- Chapter 4: Classical Parameter Estimation -- 4.1 Introduction -- 4.2 Scalar Parameter Estimation -- 4.3 Multiple Parameter Estimation -- 4.4 Global Bayesian Bounds -- 4.5 Composite Hypotheses -- 4.6 Summary -- 4.7 Problems -- Chapter 5: General Gaussian Estimation -- 5.1 Introduction -- 5.2 Nonrandom Parameters -- 5.3 Random Parameters -- 5.4 Sequential Estimation -- 5.5 Summary -- 5.6 Problems -- Chapter 6: Representation of Random Processes -- 6.1 Introduction -- 6.2 Orthonormal Expansions: Deterministic Signals
|
505 |
8 |
|
|a 6.3 Random Process Characterization -- 6.4 Homogeous Integral Equations and Eigenfunctions -- 6.5 Vector Random Processes -- 6.6 Summary -- 6.7 Problems -- Chapter 7: Detection of Signals-Estimation of Signal Parameters -- 7.1 Introduction -- 7.2 Detection and Estimation in White Gaussian Noise -- 7.3 Detection and Estimation in Nonwhite Gaussian Noise -- 7.4 Signals with Unwanted Parameters: The Composite Hypothesis Problem -- 7.5 Multiple Channels -- 7.6 Multiple Parameter Estimation -- 7.7 Summary -- 7.8 Problems -- Chapter 8: Estimation of Continuous-Time Random Processes
|
505 |
8 |
|
|a 8.1 Optimum Linear Processors -- 8.2 Realizable Linear Filters: Stationary Processes, Infinite Past: Wiener Filters -- 8.3 Gaussian-Markov Processes: Kalman Filter -- 8.4 Bayesian Estimation of Non-Gaussian Models -- 8.5 Summary -- 8.6 Problems -- Chapter 9: Estimation of Discrete-Time Random Processes -- 9.1 Introduction -- 9.2 Discrete-Time Wiener Filtering -- 9.3 Discrete-Time Kalman Filter -- 9.4 Summary -- 9.5 Problems -- Chapter 10: Detection of Gaussian Signals -- 10.1 Introduction -- 10.2 Detection of Continuous-Time Gaussian Processes -- 10.3 Detection of Discrete-Time Gaussian Processes
|
505 |
8 |
|
|a 10.4 Summary -- 10.5 Problems -- Chapter 11: Epilogue -- 11.1 Classical Detection and Estimation Theory -- 11.2 Representation of Random Processes -- 11.3 Detection of Signals and Estimation of Signal Parameters -- 11.4 Linear Estimation of Random Processes -- 11.5 Observations -- 11.6 Conclusion -- Appendix A: Probability Distributions and Mathematical Functions -- Appendix B: Example Index -- References -- Index
|
590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
655 |
|
0 |
|a Electronic books.
|
758 |
|
|
|i has work:
|a Part I Detection, estimation, and modulation theory Detection, estimation, and filtering theory (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD3DYB3dPY6Dvdf9Pfcpj98
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Van Trees, Harry L.
|t Detection Estimation and Modulation Theory, Part I
|d Newark : John Wiley & Sons, Incorporated,c2013
|z 9780470542965
|
830 |
|
0 |
|a New York Academy of Sciences Ser.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7103786
|z Texto completo
|
938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL7103786
|
994 |
|
|
|a 92
|b IZTAP
|