DocumentCode :
3632795
Title :
Star-derived transforms in lossless text compression
Author :
Radu Radescu
Author_Institution :
Applied Electronics and Information Eng. Dept., Polytechnic University of Bucharest, Romania
fYear :
2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a study of transforms method used in lossless text compression in order to preprocess the text by exploiting the inner redundancy of the source file. The transform methods are derived from the Star (*) Transform. LIPT, ILPT, NIT, and LIT applied to text files emphasize their positive effects on a set of test files picked up from the classical corpora of both English and Romanian texts. Experimental results and comparisons with universal lossless compressors were performed, and set of interesting conclusions and recommendations are driven on their basis.
Keywords :
"Sorting","Encoding","Arithmetic","Testing","Compressors","Compression algorithms","Dictionaries","Entropy","Performance evaluation","Adaptive algorithm"
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
Print_ISBN :
978-1-4244-3785-6
Type :
conf
DOI :
10.1109/ISSCS.2009.5206098
Filename :
5206098
Link To Document :
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