introduction to random processes with applications to signal

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  • Table of ContentsPreface to the Second EditionPreface to the First EditionPart 1: REVIEW OF PROBABILITY, RANDOM VARIABLES, AND EXPECTATIONChapter 1: Probability and Random VariablesChapter 2: ExpectationPart 2: RANDOM PROCESSESChapter 3: Introduction to Random ProcessesChapter 4: Mean and AutocorrelationChapter 5: Classes of Random ProcessesChapter 6: The Wiener and Poisson ProcessesChapter 7: Stochastic CalculusChapter 8: Ergodicity and DualityChapter 9: Linear Transformations, Filters, and Dynamical SystemsChapter 10: Spectral DensityChapter 11: Special Topics and ApplicationsChapter 12: Cyclostationary ProcessesChapter 13: Minimum-Mean-Squared-Error EstimationSolutions to Selected ExercisesReferences