A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

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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...

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Bibliographic Details
Main Authors:	Ristic, B., Vo, Ba Tuong, Vo, Ba-Ngu, Farina, A.
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers 2013
Online Access:	http://hdl.handle.net/20.500.11937/6652

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