Random processes : filtering, estimation, and detection /
Lonnie C. Ludeman.
- Hoboken, N.J. : Wiley-Interscience, c2003.
- xvii, 608 p. : ill. ; 25 cm.
Includes bibliographical references and index.
Experiments and Probability -- Definition of an Experiment -- Combined Experiments -- Conditional Probability -- Random Points -- Random Variables -- Definition of a Random Variable -- Common Continuous Random Variables -- Common Discrete Random Variables -- Transformations of One Random Variable -- Computation of Expected Values -- Two Random Variables -- Two Functions of Two Random Variables -- One Function of Two Random Variables -- Computation of E[h(X, Y)] -- Multiple Random Variables -- M Functions of N Random Variables -- Estimation of Random Variables -- Estimation of Variables -- Linear MMSE Estimation -- Nonlinear MMSE Estimation -- Properties of Estimators of Random Variables -- Bayes Estimation -- Estimation of Nonrandom Parameters -- Random Processes -- Definition of a Random Process -- Characterizations of a Random Process -- Stationarity of Random Processes -- Examples of Random Processes -- Definite Integrals of Random Processes -- Joint Characterizations of Random Processes -- Gaussian Random Processes -- White Random Processes -- ARMA Random Processes -- Periodic Random Processes -- Sampling of Continuous Random Processes -- Ergodic Random Processes -- Linear Systems: Random Processes -- Classification of Systems -- Continuous Linear Time-Invariant Systems (Random Inputs) -- Continuous Time-Varying Systems with Random Input -- Discrete Time-Invariant Linear Systems with Random Inputs -- Discrete Time-Varying Linear Systems with Random Inputs -- Linear System Identification -- Derivatives of Random Processes.
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Stochastic processes. Signal processing. Image processing.