Title :
Universal coding of function spaces as a model signal compression
Author :
Ryabko, Boris ; Astola, Jaakko
Author_Institution :
Siberian State Univ. of Telecommun. & Comput. Sci., Russia
Abstract :
This paper addresses 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 ρ. The main attention is focused on the minimization of the size of compressed representation, when function characteristics are not known precisely.
Keywords :
data compression; entropy codes; transform coding; Kolmogorov entropy; data compression; epsilon-entropy; mathematical model; signal compression; universal coding; Computer science; Data compression; Decoding; Encoding; Entropy; Extraterrestrial measurements; Mathematical model; Signal processing; Signal representations; Speech;
Conference_Titel :
Data Compression Conference, 2004. Proceedings. DCC 2004
Print_ISBN :
0-7695-2082-0
DOI :
10.1109/DCC.2004.1281483
