Distributed Linear Filtering and Prediction of Time-varying Random Fields
We study distributed estimation of dynamic random fields observed by a sparsely connected network of agents/sensors. The sensors are inexpensive, low power, and they communicate locally and perform computation tasks. In the era of large-scale systems and big data, distributed estimators, yielding ro...
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| Format: | Others |
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Research Showcase @ CMU
2016
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| Online Access: | http://repository.cmu.edu/dissertations/765 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1804&context=dissertations |