Efficient computation of stochastic electromagnetic problems using unscented transforms-Reference-Cited by-同舟云学术

Efficient computation of stochastic electromagnetic problems using unscented transforms

Published:2008-03-01 Issue:2 Volume:2 Page:88-95
ISSN:1751-8822
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:

Author:

de Menezes L.R.A.X.,Ajayi A.,Christopoulos C.,Sewell P.,Borges G.A.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-smt_20070050?crawler=true&mimetype=application/pdf

Reference19 articles.

1. Papoulis, A.: ‘Probability, random variables, and stochastic processes’, 3rd edn.(McGraw-Hill, New York 1991)

2. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

3. Julier, S.J., and Uhlmann, J.K.: ‘A general method for approximating nonlinear transformations of probability distributions’, Eng. Dept., Univ. Oxford, Tech. Rep, Oxford

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