Universal Coding of Function Spaces as a Model for Signal Compression

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Data Compression Conference (DCC '04)

Snowbird, Utah

March 23-March 25

ISBN: 0-7695-2082-0

	ASCII Text	x
	Boris Ryabko, Jaakko Astola, "Universal Coding of Function Spaces as a Model for Signal Compression," Data Compression Conference, pp. 382, Data Compression Conference (DCC '04), 2004.

	BibTex	x
	@article{ 10.1109/DCC.2004.1281483, author = {Boris Ryabko and Jaakko Astola}, title = {Universal Coding of Function Spaces as a Model for Signal Compression}, journal ={Data Compression Conference}, volume = {0}, year = {2004}, issn = {1068-0314}, pages = {382}, doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2004.1281483}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Compression Conference TI - Universal Coding of Function Spaces as a Model for Signal Compression SN - 1068-0314 SP EP A1 - Boris Ryabko, A1 - Jaakko Astola, PY - 2004 KW - data compression KW - universal coding KW - epsilon- entropy KW - Kolmogorov entropy VL - 0 JA - Data Compression Conference ER -

Boris Ryabko, Siberian State University of Telecommunication and Computer Science, Russia

Jaakko Astola, Technical University of Tampere, Finland

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2004.1281483

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.

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, pp.382, Data Compression Conference (DCC '04), 2004

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