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
Link To Document :
بازگشت