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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

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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 (https://www.github.com/ECheynet/binAveraging), GitHub. Retrieved .

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

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Updates

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

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