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Introduction To Statistical Signal Processing
by Robert M. Gray And Lee D. Davisson
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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.
About the Author
Robert M. Gray received his PhD from the University of Southern California, and is Professor and Vice Chair of Electrical Engineering at Stanford University. He has written over 200 scientific papers in areas including information theory, applied probability, signal processing, speech and image processing and coding, ergodic thoery, and the theory of Toeplitz matrices. He is a Fellow of the IEEE and the Institute of Mathematical Statistics. Lee D. Davisson received his PhD from Princeton University, and is an Emeritus Professor of Electrical Engineering at the University of Maryland, College Park. He is the author or co-author of three books and over one hundred scientific papers. He is a Fellow of the IEEE.
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