Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing

Simulation of cross-correlated random field samples from sparse measurements using Bayesian... •A generator is proposed to simulate cross-correlated random fields from sparse data.•Uncertainty in random field parameters and cross-correlation are considered.•A method is proposed to satisfy the requirement of identical correlation structure.•The proposed random field generator is demonstrated and validated through examples. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Mechanical Systems and Signal Processing Elsevier

Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0888-3270
eISSN
1096-1216
D.O.I.
10.1016/j.ymssp.2018.04.042
Publisher site
See Article on Publisher Site

Abstract

•A generator is proposed to simulate cross-correlated random fields from sparse data.•Uncertainty in random field parameters and cross-correlation are considered.•A method is proposed to satisfy the requirement of identical correlation structure.•The proposed random field generator is demonstrated and validated through examples.

Journal

Mechanical Systems and Signal ProcessingElsevier

Published: Nov 1, 2018

References

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