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    Distributed state estimation for hidden Markov models with dynamic quantization and rate allocation.


    Huang, Minyi and Dey, Subhrakanti (2005) Distributed state estimation for hidden Markov models with dynamic quantization and rate allocation. In: IFAC Proceedings Volumes. Elsevier, pp. 188-193. ISBN 008045108X

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    Abstract

    This paper considers state estimation of hidden Markov models by sensor networks. By employing feedback from the fusion center to the sensor nodes, a dynamic quantization scheme is proposed and analyzed by a stochastic control approach. Dynamic rate allocation is also considered.

    Item Type: Book Section
    Additional Information: Cite as: Minyi Huang, Subhrakanti Dey, Distributed State Estimation for Hidden Markov Models with Dynamic Quantization and Rate Allocation, IFAC Proceedings Volumes, Volume 38, Issue 1, 2005, Pages 188-193, ISSN 1474-6670, ISBN 9783902661753, https://doi.org/10.3182/20050703-6-CZ-1902.00384.
    Keywords: Hidden Markov models; sensor networks; dynamic quantization;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14453
    Identification Number: https://doi.org/10.3182/20050703-6-CZ-1902.00384
    Depositing User: Subhrakanti Dey
    Date Deposited: 24 May 2021 16:17
    Publisher: Elsevier
    Refereed: Yes
    URI:

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