Universal Coding of Function Spaces as a Model for Signal Compression

Authors:
Boris Ryabko;Jaakko Astola
Affiliations:
-;-
Venue:
DCC '04 Proceedings of the Conference on Data Compression
Year:
2004

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Cited 1

Methods for controlling the authenticity of textual information transfer on the basis of statistical and structural redundancy

International Journal of Automation and Computing

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Abstract

We address the problem of signal compression, basing on the mathematicalmodel, in which a set of all possible signals is considered as a function spacewith a metric p. The main attention is focused on the minimization of thesize of compressed representation, when function characteristics are not knownprecisely.