A guide to the essential tools and techniques of statistical signal processing, along with applications.
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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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Versandziele, Kosten & DauerAnbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
Zustand: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Artikel-Nr. 50103602-20
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780521131827. Artikel-Nr. 9948371
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paperback. Zustand: fine. xiv + 463 pages, 8vo, glossy printed wrappers. Cambridge: Cambridge University Press, (2010). A fine copy. Artikel-Nr. 311064
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book 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 using a range of carefully chosen examples. The book begins with a development 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 book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications. Artikel-Nr. 9780521131827
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