
Information Theory, Information and Sources, Some Properties of Codes, Coding Information Sources, Channels and Mutual Information, Reliable Messages Through Unreliable Channels, Glossary of Symbols and Expressions.
This text investigates the mathematical foundations of information transmission and the efficiency of coding systems. Norman Abramson, a pioneer in computer networking, utilizes probability theory and algebraic structures to define how information is measured, compressed, and transmitted across noisy channels. The book establishes a rigorous framework for understanding the limits of communication systems and the design of reliable error-correcting codes.
What You Will Find
Scope Limits
Experts recognize this work as a foundational text that provides a clear, concise introduction to the principles of information theory. Readers frequently note the mathematical density of the prose, which requires a solid background in probability and linear algebra to fully comprehend.
Page Count:
201
Publication Date:
1963-01-01
Publisher:
McGraw Hill
ISBN-10:
0070001456
ISBN-13:
9780070001459
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