Information Theory - Robert B. Ash - Dover Trade Paperback

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“Dover, 1965, 1990, 0486665216, Trade Paperback, Fine condition, no marks, no underlining, no ”... Read moreabout condition
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eBay item number:365640395340

Item specifics

Condition
Like New
A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“Dover, 1965, 1990, 0486665216, Trade Paperback, Fine condition, no marks, no underlining, no ...
ISBN
9780486665214
Category

About this product

Product Identifiers

Publisher
Dover Publications, Incorporated
ISBN-10
0486665216
ISBN-13
9780486665214
eBay Product ID (ePID)
127417237

Product Key Features

Number of Pages
368 Pages
Language
English
Publication Name
Information Theory
Publication Year
1990
Subject
Information Theory, Probability & Statistics / Stochastic Processes, Electrical
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Author
Robert B. Ash
Series
Dover Books on Mathematics Ser.
Format
Trade Paperback

Dimensions

Item Weight
15.4 Oz
Item Length
8.5 in
Item Width
5.5 in

Additional Product Features

Intended Audience
College Audience
LCCN
90-045415
Dewey Edition
20
Illustrated
Yes
Dewey Decimal
001.539
Synopsis
Analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Sixty problems, with solutions. Advanced undergraduate to graduate level., 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 memoryless 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.
LC Classification Number
Q360.A8 1990

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