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Averaging noisy data into bins

version 1.5 (144 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

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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

Cite As

E. Cheynet (2021). Averaging noisy data into bins (https://github.com/ECheynet/binAveraging/releases/tag/v1.5), GitHub. Retrieved .

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

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

Inspired: Stationarity test

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.