One-point random process generation
버전 1.1 (363 KB) 작성자:
E. Cheynet
Minimalist Matlab implementation of a random process generation in one point using the spectral method
One-point random process generation
Minimalist Matlab implementation of a random process generation in one point
Summary
A stationary Gaussian random process is generated using the spectral method. This means that the function requires only two inputs: the target power spectral density (PSD) and the associated frequency vector.
Content
The present submission contains:
- The function randomProcess.m, which generates the (random) time series associated with a target PSD
- An example file Documentation.mlx, which illustrates the generation of the random process using the case of atmospheric turbulence
- The function getSamplingPara.m, which computes the target frequency vector and the associated time vector.
Any question, suggestion or comment is welcome.
Example
인용 양식
Cheynet, E. Minimalist Matlab Implementation of a Random Process Generation in One Point. Zenodo, 2020, doi:10.5281/ZENODO.3890406.
MATLAB 릴리스 호환 정보
개발 환경:
R2019b
R2018a 이상 릴리스와 호환
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Start Hunting!버전 | 게시됨 | 릴리스 정보 | |
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1.1 | See release notes for this release on GitHub: https://github.com/ECheynet/randomProcess/releases/tag/v1.1 |
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1.0 |
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