Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-07-03T21:27:50.314Z Has data issue: false hasContentIssue false

Best asymptotic value of the error exponent with random coding on discrete memoryless channels

Published online by Cambridge University Press:  14 July 2016

N. S. Kambo
Affiliation:
Indian Institute of Technology, New Delhi
Samar Singh
Affiliation:
Indian Institute of Technology, New Delhi

Abstract

Generalizing a technique given by Wolfowitz, we calculate a formula for the asymptotic value of the error exponent with random coding on a discrete memoryless channel. We then evaluate this formula analytically for low rates and show that the exact value given by this formula agrees with the random coding exponent of Gallager and Fano. This proves that their exponent, which was only known to be a bound for low rates, gives the exact value and this brings out the inherent limitation of the random coding method.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1972 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Fano, R. M. (1961) Transmission of Information. M.I.T. Press and Wiley, New York.Google Scholar
[2] Gallager, R. (1965) A simple derivation of the coding theorem and some applications. IEEE Trans. Information Theory 11, 318.Google Scholar
[3] Gallager, R. (1968) Information Theory and Reliable Communication. Wiley, New York.Google Scholar
[4] Shannon, C. E., Gallager, R. G. and Berlekamp, E. R. (1967) Lower bounds to error probability for coding on discrete memoryless channels. Information and Control 10, 65103 and 522552.Google Scholar
[5] Wolfowitz, J. (1966) Best exponential upper bounds obtainable by random coding. Unpublished.Google Scholar