DocumentCode
1429576
Title
Gaussian Multiple Description Coding with Low-Density Generator Matrix Codes
Author
Chen, Jun ; Zhang, Ying ; Dumitrescu, Sorina
Author_Institution
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Volume
60
Issue
3
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
676
Lastpage
687
Abstract
It is shown that the coding problem for an arbitrary point on the dominant face of an L-description El Gamal-Cover (EGC) region can be converted to that for a vertex of a K-description EGC region for some K≤ 2L-1, where the latter problem can be solved via successive coding. A practical scheme is proposed for the quadratic Gaussian case by reducing each step in successive coding to a Gaussian quantization operation and implementing such an operation using low-density generator matrix codes. The effectiveness of this scheme is verified through extensive simulation experiments.
Keywords
Gaussian processes; codes; matrix algebra; Gaussian multiple description coding; Gaussian quantization operation; L-description El Gamal-Cover region; arbitrary point; low-density generator matrix codes; successive coding; Covariance matrix; Encoding; Face; Generators; Markov processes; Quantization; Random variables; Lossy source coding; low-density generator matrix; message-passing algorithm; multiple description coding; quantization splitting;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2012.12.100562
Filename
6138252
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