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An introduction to information theory / Fazlollah M. Reza.

By: Material type: TextTextPublication details: New York : Dover Publications, 1994.Description: xv, 496 p. : ill. ; 22 cmISBN:
  • 0486682102
  • 9780486682105
Subject(s): DDC classification:
  • 003.54   22
Contents:
Introduction -- Basic Concepts of Probability -- Basic Concepts of Information Theory: Memoryless Finite Schemes -- Elements of Encoding -- Continuous Probability Distribution and Density -- Statistical Averages -- Normal Distributions and Limit Theorems --Continuous Channel without Memory -- Transmission of Band-limited Signals -- Stochastic Processes -- Communication under Stochastic Regimes -- The Fundamental Theorem of Information Theory -- Group Codes
Summary: Graduate-level study for engineering students presents elements of modern probability theory, elements of information theory with emphasis on its basic roots in probability theory and elements of coding theory. Emphasis is on such basic concepts as sets, sample space, random variables, information measure, and capacity. Many reference tables and extensive bibliography. 1961 edition.
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 003.54 / RE.I 1994 (Browse shelf(Opens below)) 1 Available 000236

Originally published: New York : McGraw-Hill, 1961.

Includes bibliographical references (p. 481-490) and indexes.

Introduction -- Basic Concepts of Probability -- Basic Concepts of Information Theory: Memoryless Finite Schemes -- Elements of Encoding -- Continuous Probability Distribution and Density -- Statistical Averages -- Normal Distributions and Limit Theorems --Continuous Channel without Memory -- Transmission of Band-limited Signals -- Stochastic Processes -- Communication under Stochastic Regimes -- The Fundamental Theorem of Information Theory -- Group Codes

Graduate-level study for engineering students presents elements of modern probability theory, elements of information theory with emphasis on its basic roots in probability theory and elements of coding theory. Emphasis is on such basic concepts as sets, sample space, random variables, information measure, and capacity. Many reference tables and extensive bibliography. 1961 edition.

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