Multiple-description coding by dithered delta-sigma quantization
IEEE Transactions on Information Theory
Multiple description coding for stationary Gaussian sources
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
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Multiple description (MD) source coding is aimed at achieving graceful degradation in reconstruction with respect to losing portions of the code, with the cost of some redundancy. We examine MD schemes which use entropy-coded dithered lattice quantizers (ECDQ). We propose two techniques, one based on successive refinement (SR), and the other a dithered and periodic version of the MID scalar quantizer (MDSQ) with distributed cells proposed by Vaishampayan (1993, 1994). Similarly to the single description case, both techniques are universal in nature, and are equivalent to additive noise channels. This allows one to derive analytical expressions for the rate-distortion performance for general sources, and to compare them to the optimal rate regions at both high and low resolutions. Among other results, we establish that while the dithered MDSQ scheme loses only the space filling loss of the scalar lattice at any resolution, the SR-based scheme loses an additional 0.5 bit at any lattice dimension. Possible improvements, such as "refinement time sharing" and "dependent dithering", are discussed