Economical simulation in particle filtering using interpolation

Sampling from the importance density is often a costly aspect of particle filters. We present a method by which to replace the most computationally expensive component of the importance density with an efficient approximation, thus allowing for the propagation of a large number of particles at reduc...

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Bibliographic Details
Main Authors: Taylor, Joshua Adam (Contributor), Hover, Franz S. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2011-04-19T15:48:12Z.
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