000			02151nam a2200193Ia 4500
005			20250127151937.0
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020			_a9780486665214
040			_cNational Institute of Technology Goa
082			_a003.54 _bASH/INI
100			_aAsh, Robert B
245		0	_aInformation theory
250			_a1st
260			_aUSA: _b Dover Publications, _c 1990
300			_a356p.: 5x10x1; Paperback
520			_aAbout the book: Developed by Claude Shannon and Norbert Wiener in the late 1940s, information theory, or statistical communication theory, deals with the theoretical underpinnings of a wide range of communication devices: radio, television, radar, computers, telegraphy, and more. This book is an excellent introduction to the mathematics underlying the theory. Designed for upper-level undergraduates and first-year graduate students, the book treats three major areas: analysis of channel models and proof of coding theorems (chapters 3, 7, and 8); study of specific coding systems (chapters 2, 4, and 5); and study of statistical properties of information sources (chapter 6). Among the topics covered are noiseless coding, the discrete memory less channel, effort correcting codes, information sources, channels with memory, and continuous channels. The author has tried to keep the prerequisites to a minimum. However, students should have a knowledge of basic probability theory. Some measure and Hilbert space theory is helpful as well for the last two sections of chapter 8, which treat time-continuous channels. An appendix summarizes the Hilbert space background and the results from the theory of stochastic processes necessary for these sections. The appendix is not self-contained but will serve to pinpoint some of the specific equipment needed for the analysis of time-continuous channels. In addition to historic notes at the end of each chapter indicating the origin of some of the results, the author has also included 60 problems with detailed solutions, making the book especially valuable for independent study.
650			_aComputer Science Engineering
942			_cBK _2ddc _n0
999			_c3038 _d3038