Averaging noisy data into bins
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
引用格式
E. Cheynet (2024). Averaging noisy data into bins (https://github.com/ECheynet/binAveraging/releases/tag/v1.5), GitHub. 检索来源 .
E. Cheynet. ECheynet/BinAveraging: Averaging Noisy Data into Bins. Zenodo, 2020, doi:10.5281/ZENODO.3818011.
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启发作品: Offshore wind Turbulence Characteristics at FINO1, Stationarity test, DATA VISUALIZATION AND PROCESSING OF HEART FLOW DATA
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