Averaging noisy data into bins
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
Cite As
E. Cheynet (2026). 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.
General Information
- Version 1.5 (150 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
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.
