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DCC
2004
IEEE

Universal Coding of Function Spaces as a Model for Signal Compression

14 years 3 months ago
Universal Coding of Function Spaces as a Model for Signal Compression
We address the problem of signal compression, basing on the mathematical model, in which a set of all possible signals is considered as a function space with a metric . The main attention is focused on the minimization of the size of compressed representation, when function characteristics are not known precisely. Keywords. data compression, universal coding, epsilon- entropy, Kolmogorov entropy.
Boris Ryabko, Jaakko Astola
Added 25 Dec 2009
Updated 25 Dec 2009
Type Conference
Year 2004
Where DCC
Authors Boris Ryabko, Jaakko Astola
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