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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: | 10.3182/20050703-6-CZ-1902.00384 |
| Depositing User: | Subhrakanti Dey |
| Date Deposited: | 24 May 2021 16:17 |
| Publisher: | Elsevier |
| Refereed: | Yes |
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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