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The Ultimate Limits of Information Density

Abdel-Ghaffar, Khaled and McEliece, Robert J. (1988) The Ultimate Limits of Information Density. In: Performance Limits in Communication Theory and Practice. NATO ASI Series. No.142. Springer , Dordrecht, pp. 267-279. ISBN 978-94-010-7757-6.

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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.

Item Type:Book Section
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Additional Information:© 1988 Kluwer Academic Publishers.
Subject Keywords:Normal Random Variable; Storage Density; Hadamard Matrix; Ultimate Limit; Orthogonal Code
Series Name:NATO ASI Series
Issue or Number:142
Record Number:CaltechAUTHORS:20200204-154400378
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:101121
Deposited By: Tony Diaz
Deposited On:04 Feb 2020 23:57
Last Modified:16 Nov 2021 17:59

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