Theory of Information and Coding

@inproceedings{McEliece1977TheoryOI,
  title={Theory of Information and Coding},
  author={R. McEliece},
  year={1977}
}
1. Entropy and mutual information 2. Discrete memoryless channels and their capacity-cost functions 3. Discrete memoryless sources and their rate-distortion functions 4. The Gaussian channel and source 5. The source-channel coding theorem 6. Survey of advanced topics for part I 7. Linear codes 8. BCH Goppa, and related codes 9. Convolutional codes 10. Variable-length source coding 11. Survey of advanced topics for part II. 
Joint binary symmetric source-channel coding with small linear codes
  • F. Bergot, Olivier Rioni
  • Computer Science, Mathematics
  • 9th European Signal Processing Conference (EUSIPCO 1998)
  • 1998
Information Theory and Rate Distortion Theory for Communications and Compression
  • J. Gibson
  • Mathematics, Computer Science
  • Information Theory and Rate Distortion Theory for Communications and Compression
  • 2013
Turbo codes for nonuniform memoryless sources over noisy channels
Fundamentals of Error-Correcting Codes
Joint source-channel coding of uniform memoryless sources over binary symmetric channels
Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems
Asymmetric Error Correcting Codes
Optimal allocation of bandwidth for source coding, channel coding, and spreading in CDMA systems
Entropy and Information Theory
  • R. Gray
  • Mathematics
  • Springer New York
  • 1990
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