Error Exponent for Source Coding with a Fidelity Criterion

IEEE Transactions on Information Theory

Volumn 20, Issue 2, 1974, Pages 197-199

  Marton, Katalin ^a  

^a WIGNER RESEARCH CENTRE FOR PHYSICS   (Hungary)

Author keywords

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Indexed keywords

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EID: 0016036023     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/TIT.1974.1055204     Document Type: Article

References (10)

1. R. G. Gallager, Information Theory and Reliable Communication. New York: Wiley, 1968.
2. T. Berger, Rate Distortion Theory: A Mathematical Basis for Data Compression. Englewood Cliffs, N.J.: Prentice-Hall, 1971.
3. C. E. Shannon, R. G. Gallager, and E. R. Berlekamp, “Lower bounds to error probability for coding on discrete memoryless channels,” Inform. Contr., vol. 10, pp. 65–103, 522–552, 1967.
4. E. A. Arutiunian, “Bounds to the error probability exponent for semicontinuous memoryless channels,” Probl. Peredach. Inform., vol. 4, pp. 37–48, 1968 (In Russian).
5. F. Jelinek, Probabilistic Information Theory. New York: McGraw-Hill, 1968.
6. I. Csiszár and G. Longo “On the error exponent for source coding and for testing simple statistical hypotheses,” Studia Scientiarum Math. Hungarica, vol. 6, pp. 181–191, 1971.
7. R. E. Blahut, “An hypothesis testing approach to information theory,” Ph.D. dissertation, Cornell Univ., Ithaca, N.Y., 1972.
8. R. E. Blahut, “Hypothesis testing and information theory,” submitted to IEEE Trans. Inform. Theory.
9. J. K. Omura “A source coding theorem for discrete-time sources,” IEEE Trans. Inform. Theory, vol. IT-19, pp. 190–198, July 1973.
10. J. Körner, “Source coding with a sum type distortion measure,” submitted to IEEE Trans. Inform. Theory.