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This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic probability, random objects, expectation, and second-order moment theory, followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the text | An Introduction to Statistical Signal Processing May 5 2000 ii An Introduction to Statistical Signal Processing Robert M. Gray and Lee D. Davisson Information Systems Laboratory Department of Electrical Engineering Stanford University and Department of Electrical Engineering and Computer Science University of .
