Updated 08 May 2020
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!
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.
See release notes for this release on GitHub: https://github.com/ECheynet/binAveraging/releases/tag/v1.5