Detection, estimation, and modulation theory. Detection, estimation, and linear modulation theory

Detection, estimation, and modulation theory. Part I, Detection, estimation, and linear modulation theory

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Hlavní autor: Van Trees, Harry L., 1930-
Médium: Livre papier
Jazyk:Anglais
Vydáno: New York ; London ; Sydney ; Chichester : J. Wiley and sons C 1968.
Témata:
Signal, Théorie du (télécommunications)
Estimation, Théorie de l'
Modulation (électronique)
Autres localisations: Voir dans le Sudoc
Obsah:
  • 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
  • 2.3 M hypotheses
  • 2.4 Estimation theory
  • 2.5 Composite hypotheses
  • 2.6 The genral gaussian problem
  • 2.7 Performance bounds and approximations
  • 2.8 Summary
  • 2.9 Problems.
  • 3. Representations of random processes
  • 3.1 Introduction
  • 3.2 Deterministic functions : orthogonal representations
  • 3.3 Random process characterizations
  • 3.4 Homogeneous integral equations and eigenfunctions
  • 3.5 Periodic processes
  • 3.6 Infinite time interval : spectral decomposition
  • 3.7 Vector random processes
  • 3.8 Summary
  • 3.9 Problems.
  • 4. Detection of signals - Estimation of signal parameters
  • 4.1 Introduction
  • 4.2 Detection and estimation in white gaussian noise
  • 4.3 Detection and estimation in nonwhite gaussian noise
  • 4.4 Signals with unwanted parameters : the composite hypothesis problem
  • 4.5 Multiple channels
  • 4.6 Multiple parameter estimation
  • 4.7 Summary and omissions
  • 4.8 Problems.
  • 5. Estimation of continuous waveforms
  • 5.1 Introduction
  • 5.2 Derivation of estimator equations
  • 5.3 A lower bound on the mean-square estimation error
  • 5.4 Multidimensional waveform estimation
  • 5.5 Nonrandom waveform estimation
  • 5.6 Summary
  • 5.7 Problems.
  • 6. Linear estimation
  • 6.1 Properties of optimum processors
  • 6.2 Realizable linear filters : stationary processes, infinite past : Wiener filters
  • 6.3 Kalman-Bucy filters
  • 6.4 Linear modulation : communications context
  • 6.5 The fundamental role of the optimum linear filter
  • 6.6 Comments
  • 6.7 Problems.
  • 7. Discussion
  • 7.1 Summary
  • 7.2 Preview of part II
  • 7.3 Unexplored issues.

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