Averaging noisy data into bins

Versione 1.5 (150 KB) da E. Cheynet
The function binAveraging smoothes noisy power spectral density estimates or simply average scattered data into bins
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Aggiornato 8 mag 2020
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binAveraging

Averaging noisy data into bins

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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

Cita come

E. Cheynet (2024). Averaging noisy data into bins (https://github.com/ECheynet/binAveraging/releases/tag/v1.5), GitHub. Recuperato .

E. Cheynet. ECheynet/BinAveraging: Averaging Noisy Data into Bins. Zenodo, 2020, doi:10.5281/ZENODO.3818011.

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Versione Pubblicato Note della release
1.5

See release notes for this release on GitHub: https://github.com/ECheynet/binAveraging/releases/tag/v1.5
1.4

typos
1.2

Description updated
1.1

Summary updated
1.0.0

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Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.