DocumentCode
3020221
Title
Arithmetic coding for noisy channels
Author
Sayir, Jossy
Author_Institution
Signal & Inf. Proc. Lab., Eidgenossische Tech. Hochschule, Zurich, Switzerland
fYear
1999
fDate
1999
Firstpage
69
Lastpage
71
Abstract
Arithmetic coding is generalized to provide a method for transforming source output sequences into sequences whose probability distribution approaches any desired probability distribution. A further modification in which gaps are introduced between source intervals allows arithmetic encoders to produce code sequences with any information rate, enabling the encoder to perform joint source-channel coding. The results of a simulation are presented where arithmetic coding is used as a channel encoder in conjunction with a sequential decoder
Keywords
arithmetic codes; combined source-channel coding; noise; probability; sequences; arithmetic coding; channel encoder; code sequences; gaps; information; joint source-channel coding; noisy channels; probability distribution; sequential decoder; source intervals; source output sequences; Arithmetic; Books; Channel coding; Convolutional codes; Decoding; Information rates; Noise reduction; Probability distribution; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE
Conference_Location
Kruger National Park
Print_ISBN
0-7803-5268-8
Type
conf
DOI
10.1109/ITCOM.1999.781412
Filename
781412
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