Intended to serve primarily as a first course on random processes for graduate-level engineering and science students, particularly those with an interest in the analysis and design of signals and systems. This new edition includes over 350 exercises, new material on applications of cyclostationary processes, detailed coverage of minimum-mean-squared-error estimation, and much more. Includes coverage of spectral analysis, dynamical systems, and statistical signal processing. Solutions manual also available.
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This text/reference book aims to present a comprehensive introduction to the theory of random processes with emphasis on its practical applications to signals and systems. The author shows how to analyze random processes - the signals and noise of a communication system. He also shows how to achieve results in their use and control by drawing on probabilistic concepts and the statistical theory of signal processing. This second edition adds over 50 worked exercises for students and professionals, as well as an additional 100 standard exercises. Recent advances in random process theory and application have been added.
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