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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
Simulation of narrowband non-Gaussian processes using envelope distribution Tsuchida, Takahiro; Kimura, Koji
Abstract
An envelope distribution approach is developed for generation of a class of narrowband non-Gaussian processes. The process is prescribed by the probability density and the specified power spectrum with the non-zero dominant frequency. The proposed approach is based on the method using stochastic differential equations. In order to construct the stochastic differential equations, it is required to find a joint probability distribution, which takes the form derived from the corresponding Fokker-Planck equation and has the target non-Gaussian distribution as the marginal distribution. In the present method, the joint distribution is obtained from the envelope distribution corresponding to the target non-Gaussian probability density. The proposed approach is applicable to generation of narrowband processes with a variety of non-Gaussian probability densities. Two numerical examples are presented to illustrate the usefulness of the approach.
Item Metadata
Title |
Simulation of narrowband non-Gaussian processes using envelope distribution
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Creator | |
Contributor | |
Date Issued |
2015-07
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Description |
An envelope distribution approach is developed for generation of a class of narrowband
non-Gaussian processes. The process is prescribed by the probability density and the specified power
spectrum with the non-zero dominant frequency. The proposed approach is based on the method using
stochastic differential equations. In order to construct the stochastic differential equations, it is required
to find a joint probability distribution, which takes the form derived from the corresponding Fokker-Planck
equation and has the target non-Gaussian distribution as the marginal distribution. In the present
method, the joint distribution is obtained from the envelope distribution corresponding to the target
non-Gaussian probability density. The proposed approach is applicable to generation of narrowband
processes with a variety of non-Gaussian probability densities. Two numerical examples are presented
to illustrate the usefulness of the approach.
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Genre | |
Type | |
Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-21
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076111
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada