DocumentCode
3037191
Title
Variable-Length Lossy Compression Algorithms Based on Constrained Random Numbers
Author
Muramatsu, Jun
Author_Institution
NTT Commun. Sci. Labs., NTT Corp., Kyoto, Japan
fYear
2015
fDate
7-9 April 2015
Firstpage
463
Lastpage
463
Abstract
Summary form only given. A variable-length lossy compression algorithms for a stationary memory less source with a continuous alphabet are introduced with a rate-distortion pair close to the rate-distortion function.
Keywords
Markov processes; Monte Carlo methods; source coding; constrained random numbers; rate-distortion function; rate-distortion pair; stationary memory; variable-length lossy compression algorithms; Compression algorithms; Encoding; Generators; Quantization (signal); Rate-distortion; Sparse matrices; Systematics; Markov Chain Monte Carlo method; constrained-random-number generator; lossy compression; sparse matrix; sum-product algorithm; variable-length code;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2015
Conference_Location
Snowbird, UT
ISSN
1068-0314
Type
conf
DOI
10.1109/DCC.2015.45
Filename
7149326
Link To Document