One-point random process generation
版本 1.1 (363.0 KB) 作者:
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
引用格式
Cheynet, E. Minimalist Matlab Implementation of a Random Process Generation in One Point. Zenodo, 2020, doi:10.5281/ZENODO.3890406.
MATLAB 版本兼容性
创建方式
R2019b
与 R2018a 及更高版本兼容
平台兼容性
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Start Hunting!版本 | 已发布 | 发行说明 | |
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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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要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库。