A Tutorial on Bernoulli Filters: Theory, Implementation and Applications
Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive estimation of dynamic systems, recently emerged from the random set theoretical framework. The common feature of Bernoulli filters is that they are designed for stochastic dynamic systems which randomly swi...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Institute of Electrical and Electronics Engineers
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/6652 |