Design of quantizers for decentralized estimation systems

  title={Design of quantizers for decentralized estimation systems},
  author={Wai-Man Lam and Amy R. Reibman},
  journal={IEEE Trans. Communications},
We consider parameter estimation in decentralized systems with distributed processors. We restrict the local processors to be quantizers and consider the optimal design of the systems to minimize the estimation error. We present necessary conditions for the optimal system based on the Bayes distortion functions and Fisher’s information. The numerical results compare the resulting quantizers obtained by different distortion criteria. 
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Publications referenced by this paper.
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  • Issue, Sept.
  • Delic and D. Kazakos, “Multisensor bayesian…
  • 1991

Distributed bayesian parameter estimation , ” in Proc . 26 th IEEE CDC , Los Angeles , CA ,

  • T. Lookabaugh M. Longo, R. M. Gray
  • 1987


  • Jan.
  • Flynn and R. Gray, “Encoding of correlated…
  • 1987

An algorithm for vector quantizer design

  • A. R. Reibman
  • IEEE Trans . Commun .

Quantization for distributed detection , ” in 23 rd USRl Conf , Prague , Czechoslovakia , Aug . 1990 . - , “ Asymptotically tight error bounds for multihypothesis testing using multisensor data

  • A. Buzo Y. Linde, R. M. Gray

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