DocumentCode :
1596781
Title :
Iterative Decoding of Convolutionally Encoded Multiple Descriptions
Author :
Yen, Kuang-Yi ; Wu, Chun-Feng ; Chang, Wen-Whei
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao-Tung Univ., Hsinchu
fYear :
2009
Firstpage :
470
Lastpage :
470
Abstract :
In this work, we attempt to capitalize more fully on the source residual redundancy and then develop an MD-ISCD scheme which permits to exchange between its two constituent decoders the whole symbol extrinsic information. The first step toward realization is to derive the modified BCJR algorithm based on sectionalized code trellises that provides reliability information on each transmitted symbol rather than on index-bits. To further reduce the computation, we also apply the concept of Jacobian logarithm to formulate the algorithm in the logarithmic domain.
Keywords :
convolutional codes; iterative decoding; trellis codes; Jacobian logarithm; MD-ISCD scheme; convolutionally encoded multiple descriptions; iterative decoding; sectionalized code trellises; source residual redundancy; Convolutional codes; Data compression; Data engineering; Iterative algorithms; Iterative decoding; Iterative methods; Jacobian matrices; Mutual information; Recursive estimation; Redundancy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2009. DCC '09.
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
978-1-4244-3753-5
Type :
conf
DOI :
10.1109/DCC.2009.85
Filename :
4976524
Link To Document :
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