The Ultimate Limits of Information Density
- Creators
- Abdel-Ghaffar, Khaled
- McEliece, Robert J.
- Other:
- Skwirzynski, J. K.
Abstract
In a conference devoted to studying the ultimate limits of communication systems, we wish to make an information-theoretic contribution. It is surely appropriate to do this, since Shannon's theorem tells us exactly what the ultimate communication limit of a noisy channel is. Nevertheless, it has seemed to us for some time that the usual models of information theory are inadequate for a study of the ultimate limits of many practical communication and information storage systems, because of a key missing parameter. This missing parameter we call the scaling parameter. In this paper we hope to remedy this situation a bit by introducing a class of models for channels with noise scaling. Rather than give a formal definition immediately, we begin with a "thought experiment" to illustrate what we mean.
Additional Information
© 1988 Kluwer Academic Publishers.Additional details
- Eprint ID
- 101121
- Resolver ID
- CaltechAUTHORS:20200204-154400378
- Created
-
2020-02-04Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Series Name
- NATO ASI Series
- Series Volume or Issue Number
- 142