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开源软件名称(OpenSource Name):OpenPIV/openpiv-podbox开源软件地址(OpenSource Url):https://github.com/OpenPIV/openpiv-podbox开源编程语言(OpenSource Language):MATLAB 99.0%开源软件介绍(OpenSource Introduction):OpenPIV Proper Orthogonal Decomposition (POD) ToolboxProper Orthogonal Decomposition (POD) or Principal Component Analysis (PCA) http://en.wikipedia.org/wiki/Principal_component_analysis is an objective method to extract the most energetic structures from numerical or experimental data, in our case of fluid mechanics. The toolbox was originally developed by the OpenPIV group for the use with the Matlab (tm) version of OpenPIV in 2000, then for the use with Insight (tm) software by TSI Inc. (www.tsi.com). At present it can read the PIV data from OpenPIV (TXT ASCII files), Insight (VEC format) or OpenPIV Spatial Toolbox MAT files. The toolbox can estimate the POD modes using direct or snapshots method and it provides an extra layer of fluid dynamics insight using the linear combination of the POD modes, enabling the coherent structures detection and characterization. For the details, see the article listed below. How to obtain the toolboxUse Github repository if you wish to develop the toolbox further or download the ZIP file of the recent branch to get the repository copy without Git. How to use the toolboxOpen Matlab, add the toolbox to the path using ```addpath''' or the graphical interface or simply change the folder to the POD Toolbox folder. Type:
The directory includes the folder How to cite this toolboxUse Bibtex:
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2023-10-27
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2022-08-13
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