Proceedings of the 2002 IEEE 10th Digital Signal Processing Workshop, pp. 400- 405, Calloway Gardens, Pine Mountain, Georgia, October 13-16, 2002.

The Channel-Optimized Multiple-Description Scalar Quantizer

doi: 10.1109/DSPWS.2002.1231141

S. Voran

Abstract: Multiple–description coding is one way to gain robustness against lossy channels. We extend the multiple–description scalar quantizer (MDSQ) to a channel–optimized MDSQ (COMDSQ) that minimizes mean–squared error for a given channel environment. We discuss necessary and sufficient conditions for the optimality of M–channel COMDSQ's and provide procedures for the design of 2–channel COMDSQ's. We provide example results including audio files from waveform and transform coders that employ COMDSQs.

Keywords: fading; quantization; decoding; error correction codes; Robustness; audio coding; propagation loss; Costs; Probability density function; Sufficient conditions

For technical information concerning this report, contact:

Stephen D. Voran
Institute for Telecommunication Sciences
(303) 497-3839

To request a reprint of this report, contact:

Lilli Segre, Publications Officer
Institute for Telecommunication Sciences
(303) 497-3572

Disclaimer: Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.

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