DocumentCode
3384102
Title
Binary combinatorial coding
Author
Dai, Vito ; Zakhor, Avideh
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear
2003
fDate
25-27 March 2003
Firstpage
420
Abstract
Summary form only given. A novel binary entropy code, called combinatorial coding (CC), is presented. The theoretical basis for CC has been described previously under the context of universal coding, enumerative coding, and minimum description length. The code described in these references works as follows: assume the source data are binary of length M, memoryless, and generated with an unknown parameter θ (the probability that a "1" occurs). The compression efficiency, and encoding and decoding speed of CC against Huffman and arithmetic coding were tested. Over the entire test, CC achieved the compression efficiency of arithmetic coding, together with the coding speed of Huffman coding.
Keywords
Huffman codes; arithmetic codes; binary codes; combinatorial mathematics; entropy codes; memoryless systems; source coding; CC; Huffman coding; arithmetic coding; binary combinatorial coding; binary entropy code; compression efficiency; decoding speed; encoding speed; enumerative coding; memoryless data; minimum description length; universal coding; Arithmetic; Binary sequences; Computer architecture; Computer science; Decoding; Encoding; Entropy; Image coding; Information theory; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2003. Proceedings. DCC 2003
ISSN
1068-0314
Print_ISBN
0-7695-1896-6
Type
conf
DOI
10.1109/DCC.2003.1194039
Filename
1194039
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