Optimal quantization for distributed estimation via a multiple access channel

Quantizer design algorithms for decentralized estimation are presented. Scalar quantizer design for the problem of multiple descriptions over a multiple-access channel is also studied. The importance of the initial index assignment is explained and an algorithm (based on simulated annealing) for choosing a good initial index assignment is derived.

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