DocumentCode
2298178
Title
Multiple Description Coding for Stationary and Ergodic Sources
Author
Chen, Jun ; Tian, Chao ; Diggavi, Suhas
Author_Institution
IBM T.J. Watson Res. Center, Yorktown Heights, NY
fYear
2007
fDate
27-29 March 2007
Firstpage
73
Lastpage
82
Abstract
We consider the problem of multiple description (MD) coding for stationary sources with the squared error distortion measure. The MD rate region is derived for the stationary and ergodic Gaussian sources, and is shown to be achievable with a practical transform lattice quantization scheme. Moreover, the proposed scheme is asymptotically optimal at high resolution for all stationary sources with finite differential entropy rate
Keywords
Gaussian processes; combined source-channel coding; entropy; quantisation (signal); ergodic Gaussian source; finite differential entropy rate; multiple description coding; squared error distortion measure; stationary Gaussian source; transform lattice quantization scheme; Chaos; Data compression; Decoding; Distortion measurement; Entropy; Gaussian processes; Lattices; Quantization; Random processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2007. DCC '07
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-7695-2791-4
Type
conf
DOI
10.1109/DCC.2007.56
Filename
4148746
Link To Document