A First Course in Information Theory

Authors:

ISBN: 978-1-4613-4645-6 (Print) 978-1-4419-8608-5 (Online)

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xxiii

  2. No Access

    Book Chapter

    Pages 1-4

    The Science of Information

  3. No Access

    Book Chapter

    Pages 5-39

    Information Measures

  4. No Access

    Book Chapter

    Pages 41-59

    Zero-Error Data Compression

  5. No Access

    Book Chapter

    Pages 61-71

    Weak Typicality

  6. No Access

    Book Chapter

    Pages 73-94

    Strong Typicality

  7. No Access

    Book Chapter

    Pages 95-124

    The I-Measure

  8. No Access

    Book Chapter

    Pages 125-147

    Markov Structures

  9. No Access

    Book Chapter

    Pages 149-186

    Channel Capacity

  10. No Access

    Book Chapter

    Pages 187-214

    Rate-Distortion Theory

  11. No Access

    Book Chapter

    Pages 215-231

    The Blahut-Arimoto Algorithms

  12. No Access

    Book Chapter

    Pages 233-262

    Single-Source Network Coding

  13. No Access

    Book Chapter

    Pages 263-278

    Information Inequalities

  14. No Access

    Book Chapter

    Pages 279-300

    Shannon-Type Inequalities

  15. No Access

    Book Chapter

    Pages 301-325

    Beyond Shannon-Type Inequalities

  16. No Access

    Book Chapter

    Pages 327-364

    Multi-Source Network Coding

  17. No Access

    Book Chapter

    Pages 365-387

    Entropy and Groups

  18. Back Matter

    Pages 389-412