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
Link To Document :
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