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Reihe: Wahrscheinlichkeitstheorie und Mathematische Statistik

It is an ideal resource for graduate students and researchers in electrical and electronic engineering, computer science and applied mathematics. Have doubts regarding this product? Post your question. Safe and Secure Payments.

Noisy-channel coding theorem

Easy returns. You might be interested in. This course covers Information theory at an introductory level. The practical implications of theoretical results presented are put in evidence through examples.

The Annals of Probability

Various perspectives are given to understand every single theoretical results from a intuitive point of view, regardless of your background or study track. The "toolbox" of the information theorist! Entropy, divergence and mutual information : Definitions, elementary relations, inequalities.

Lossless Source Compression : Source coding theorems, Huffman codes, universal data compression. Name of resource.

Coding Theorems of Information Theory

Problem URL. Describe the connection issue. SearchWorks Catalog Stanford Libraries.

Coding theorems for discrete memoryless systems

Information theory : coding theorems for discrete memoryless systems. Edition 2nd ed.


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Noisy-channel coding theorem - Wikipedia

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Te Sun Han: Musing upon Information Theory

Find it at other libraries via WorldCat Limited preview. Bibliography Includes bibliographical references p.


  • Coding Theorems of Information Theory.
  • Information theory : coding theorems for discrete memoryless systems in SearchWorks catalog.
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  • Contents Part I. Information Measures in Simple Coding Problems: 1. Source coding and hypothesis testing: information measures-- 2. Types and typical sequences-- 3.