DocumentCode
2049238
Title
Asymptotic Optimal Lossless Compression via the CSE Technique
Author
Yokoo, Hidetoshi
Author_Institution
Dept. of Comput. Sci., Gunma Univ., Kiryu, Japan
fYear
2011
fDate
21-24 June 2011
Firstpage
11
Lastpage
18
Abstract
A novel loss less compression algorithm known as compression by sub string enumeration (CSE) is analyzed and modified. The CSE compression algorithm is a block-based, off-line method, as is the case with enumerative codes and the block-sorting compression scheme. First, we propose an encoding model that achieves asymptotic optimality for stationary ergodic sources. The codeword length attained by the proposed model converges almost surely to the entropy rate of a source when the length of a string generated by the source tends to infinity. Then, we propose a novel decoding algorithm that requires fewer code words than the original CSE.
Keywords
decoding; sorting; source coding; string matching; CSE compression algorithm; asymptotic optimal lossless compression; block-based offline method; block-sorting compression scheme; codeword length; compression by substring enumeration; decoding algorithm; encoding model; enumerative codes; source entropy rate; stationary ergodic source; Arrays; Compression algorithms; Computational modeling; Decoding; Encoding; Entropy; Predictive models; Asymptotic optimality; BWT; CSE; data compression; lossless; universal codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression, Communications and Processing (CCP), 2011 First International Conference on
Conference_Location
Palinuro
Print_ISBN
978-1-4577-1458-0
Electronic_ISBN
978-0-7695-4528-8
Type
conf
DOI
10.1109/CCP.2011.32
Filename
6061022
Link To Document