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Published Articles >> Table of Contents >> Abstract
Data Compression Conference (DCC '04)
p. 382
Universal Coding of Function Spaces as a Model for Signal Compression
Boris Ryabko, Siberian State University of Telecommunication and Computer Science, Russia
Jaakko Astola, Technical University of Tampere, Finland
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2004.1281483
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| Abstract |
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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 p. The main attention is focused on the minimization of the size of compressed representation, when function characteristics are not known precisely.
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 Additional Information
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Index Terms- data compression, universal coding, epsilon- entropy, Kolmogorov entropy
Citation:
Boris Ryabko, Jaakko Astola,
"Universal Coding of Function Spaces as a Model for Signal Compression,"
dcc,
p. 382,
Data Compression Conference (DCC '04),
2004
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