Title :
Arithmetic coding for noisy channels
Author_Institution :
Signal & Inf. Proc. Lab., Eidgenossische Tech. Hochschule, Zurich, Switzerland
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;
Conference_Titel :
Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE
Conference_Location :
Kruger National Park
Print_ISBN :
0-7803-5268-8
DOI :
10.1109/ITCOM.1999.781412
