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