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Multiple Description Coding for Stationary and Ergodic Sources
Snowbird, Utah March 27-March 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2007.562007 Data Compression Conference (DCC ...
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Jun Chen, IBM T. J. Watson Research Center
Chao Tian, Swiss Federal Institute of Technology (EPFL)
Suhas Diggavi, Swiss Federal Institute of Technology (EPFL)
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.
Citation:
Jun Chen, Chao Tian, Suhas Diggavi, "Multiple Description Coding for Stationary and Ergodic Sources," dcc, pp.73-82, 2007 Data Compression Conference (DCC'07), 2007
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