DocumentCode
3410505
Title
An empirical evaluation of coding methods for multi-symbol alphabets
Author
Moffat, Alistair ; Sharman, Neil ; Witten, I.H. ; Bell, T.C.
Author_Institution
Dept. Comput. Sci., Melbourne Univ., Vic., Australia
fYear
1993
fDate
1993
Firstpage
108
Lastpage
117
Abstract
The authors examine the resource requirements and compression efficiency of the coding phase, concentrating on applications with medium and large alphabets. When semi-static two-pass encoding can be used, Huffman coding is two to four times faster than arithmetic coding, and sometimes results in superior compression. When an adaptive coder is required the difference in speed is smaller, but Gallager´s implementation of dynamic Huffman coding is still faster than arithmetic coding in most situations. The compression loss through the use of Huffman codes is negligible in all but extreme circumstances. Where very high speed is necessary splay coding is also worth considering, although it yields poorer compression
Keywords
Huffman codes; data compression; Huffman coding; arithmetic coding; compression efficiency; multi-symbol alphabets; resource requirements; splay coding; Arithmetic; Binary codes; Character generation; Computer science; Context modeling; Data compression; Encoding; Entropy; Huffman coding; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1993. DCC '93.
Conference_Location
Snowbird, UT
Print_ISBN
0-8186-3392-1
Type
conf
DOI
10.1109/DCC.1993.253139
Filename
253139
Link To Document