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
5.0
(3)
388 Downloads
Updated 8 May 2020
View License on GitHub

binAveraging

Averaging noisy data into bins

View Averaging noisy data into bins on File Exchange

Donation

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 (2024). 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.

View more styles
MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Curve Fitting Toolbox in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Published Release Notes
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
1.0.0

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.