(Ebook) Information Theory Coding Theorems for Discrete Memoryless Systems 1st edition by Imre Csiszár, János Körner 0521196817 9780521196819

(Ebook) Information Theory Coding Theorems for Discrete Memoryless Systems 1st edition by Imre Csiszár, János Körner 0521196817 9780521196819

Information Theory: Coding Theorems for Discrete Memoryless Systems 1st edition by Imre Csiszár, János Körner - Ebook PDF Instant Download/DeliveryISBN:  0521196817, 9780521196819 

Full download Information Theory: Coding Theorems for Discrete Memoryless Systems 1st edition after payment.

Product details:

ISBN-10 :  0521196817 

ISBN-13 :  9780521196819

Author: Imre Csiszár, János Körner 

Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique discussions of information theoretic secrecy and of zero-error information theory, including the deep connections of the latter with extremal combinatorics. The presentations of all core subjects are self contained, even the advanced topics, which helps readers to understand the important connections between seemingly different problems. Finally, 320 end-of-chapter problems, together with helpful solving hints, allow readers to develop a full command of the mathematical techniques. It is an ideal resource for graduate students and researchers in electrical and electronic engineering, computer science and applied mathematics.

Information Theory: Coding Theorems for Discrete Memoryless Systems 1st Table of contents:

1. Information Measures in Simple Coding Problems

1. Source Coding and Hypothesis Testing. Information Measures

2. Types and Typical Sequences

3. Some Formal Properties of Shannon's Information Measures

4. Non-Block Source Coding

5. Blowing Up Lemma: A Combinatorial Digression

2. Two-Terminal Systems

1. The Noisy Channel Coding Problem

2. Rate-Distortion Trade-Off in Source Coding and the Source-Channel Transmission Problem

3. Computation of Channel Capacity and Δ-Distortion Rates

4. A Covering Lemma. Error Exponent in Source Coding

5. A Packing Lemma. On the Error Exponent in Channel Coding

6. Arbitrarily Varying Channels3. Multi-Terminal Systems

1. Separate Coding of Correlated Source

2. Multiple-Access Channels

3. Entropy and Image Size Characterization

4. Source and Channel NetworksReferencesName IndexSubject IndexIndex of Symbols and Abbreviations

People also search for Information Theory: Coding Theorems for Discrete Memoryless Systems 1st:

is discrete math useful for programming
    
what is discrete memoryless source
    
discrete mathematical structures for computer science
    
is discrete math necessary for programming
    
do you need discrete math for programming

Tags: Information, Theory, Coding Theorems, Discrete Memoryless Systems, Imre Csiszár, János Körner