Design of distributed channel optimized multiple description vector quantizer

In this paper, a distributed channel optimized multiple description vector quantization (DCMDVQ) scheme is presented. A minimum mean square error decoder, utilizing side information, is proposed for effective reconstruction of multiple descriptions transmitted over noisy channels with packet loss. The DCMDVQ is designed using a deterministic annealing approach. Simulation results indicate a noticeable gain in comparison to classic MDVQ or channel optimized MDVQ, while being only 2 dB away from the rate-distortion bound for multiple descriptions with side information.

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