DocumentCode :
3420772
Title :
State machine interpretation of arithmetic codes for joint source and channel coding
Author :
Bi, Dongsheng ; Hoffman, Michael W. ; Sayood, Khalid
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
fYear :
2006
fDate :
28-30 March 2006
Firstpage :
143
Lastpage :
152
Abstract :
Based on the encoding process, arithmetic codes can be viewed as tree codes and current proposals for decoding arithmetic codes with forbidden symbols belong to sequential decoding algorithms and their variants. However, arithmetic coding can also be modeled as a finite state machine and can be treated as a variable-length trellis code. The number of states used for decoding can be reduced and techniques used for convolutional codes such as the list Viterbi decoding algorithm can be applied on the trellis. The proposed approach provides a rich environment for the design of joint source/channel codes. The particular implementation presented here shows significant performance improvement over previous approaches.
Keywords :
Viterbi decoding; arithmetic codes; combined source-channel coding; convolutional codes; finite state machines; tree codes; trellis codes; variable length codes; Viterbi decoding algorithm; arithmetic codes; convolutional codes; finite state machine; joint source and channel coding; sequential decoding algorithms; state machine interpretation; tree codes; variable-length trellis code; Arithmetic; Automata; Bismuth; Channel coding; Clocks; Convolutional codes; Delay; Iterative decoding; Modulation coding; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2006. DCC 2006. Proceedings
ISSN :
1068-0314
Print_ISBN :
0-7695-2545-8
Type :
conf
DOI :
10.1109/DCC.2006.73
Filename :
1607249
Link To Document :
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