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Averaging noisy data into bins

version 1.5 (150 KB) by E. Cheynet
The function binAveraging smoothes noisy power spectral density estimates or simply average scattered data into bins


Updated 08 May 2020

GitHub view license on GitHub

The 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

That is the first version of the submission; some bugs may still be present. Any comment, suggestion or question is welcomed!

Cite As

E. Cheynet (2020). Averaging noisy data into bins (, GitHub. Retrieved .

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

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See release notes for this release on GitHub:




Description updated


Summary updated

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired: Stationarity test