The function binAveraging smoothes noisy power spectral density estimates or simply average scattered data into bins
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binAveraging
Averaging noisy data into bins
The Matlab function binAveraging allows clearer visualization of power spectral density estimates of turbulent velocity density by smoothing the high-frequency range. It can also be used to average data into no-overlapping bins.
The present submission contains:
- the function binAveraging.m
- An example file Example.mlx
- A data set PSD_velocity.mat which contains a time series of simulated turbulent velocity fluctuations
Citation pour cette source
E. Cheynet (2026). Averaging noisy data into bins (https://github.com/ECheynet/binAveraging/releases/tag/v1.5), GitHub. Extrait(e) le .
E. Cheynet. ECheynet/BinAveraging: Averaging Noisy Data into Bins. Zenodo, 2020, doi:10.5281/ZENODO.3818011.
Informations générales
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.5 | See release notes for this release on GitHub: https://github.com/ECheynet/binAveraging/releases/tag/v1.5 |
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| 1.4 | typos |
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| 1.2 | Description updated |
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| 1.1 | Summary updated |
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| 1.0.0 |
