Multiple description coding for stationary Gaussian sources

Authors:
Jun Chen;Chao Tian;Suhas Diggavi
Affiliations:
Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada;AT&T Labs-Research, Florham Park, NJ and School of Computer and Communication Sciences, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland;School of Computer and Communication Sciences, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
Venue:
IEEE Transactions on Information Theory
Year:
2009

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Abstract

We consider the problem of multiple description coding for stationary Gaussian sources under the squared error distortion measure. The rate region is characterized for the 2-description case. It is shown that each supporting line of the rate region is achievable with a transform lattice quantization scheme. We show the optimal coding scheme has a natural spectral domain coding interpretation, which yields a reverse water-filling solution with a frequency-dependent water level instead of the flat water level as in the conventional single description case.