Introduction to Coding and Information Theory
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Book Overview
This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters...
Format:Hardcover
Language:English
ISBN:0387947043
ISBN13:9780387947044
Release Date:November 1996
Publisher:Springer
Length:326 Pages
Weight:1.70 lbs.
Dimensions:0.9" x 7.2" x 9.6"
Related Subjects
Artificial Intelligence Coding Theory Computer Science Computers Computers & Technology Education & Reference Math Mathematics Science Science & Math Science & Scientists Science & Technology Software Design, Testing & Engineering Systems Analysis & Design Textbooks Theory of ComputingCustomer Reviews
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