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matlab-based open-source particle image velocimetry (piv)  (MathWorks Inc)


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    MathWorks Inc matlab-based open-source particle image velocimetry (piv)
    Matlab Based Open Source Particle Image Velocimetry (Piv), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab-based open-source particle image velocimetry (piv)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based open-source particle image velocimetry (piv) - by Bioz Stars, 2026-03
    90/100 stars

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    Image Search Results


    The root folder SPARKtoolbox contains five main subfolders: SPARKtoolbox/RandomWalk, SPARKtoolbox/SpectralGT, SPARKtoolbox/Results, SPARKtoolbox/Examples and SPARKtoolbox/Dependencies. The SPARKtoolbox/RandomWalk and the SPARKtoolbox/SpectralGT subfolders are further subdivided into four leaf-folders with the MATLAB functions for weighted directed, weighted undirected, unweighted directed and unweighted undirected graphs. The SPARKtoolbox/Examples and SPARKtoolbox/Results subfolders contain the MATLAB code and the results for the examples on synthetic data. The MATLAB scripts to import and analyze real data from the UCI repository have also been provided in SPARKtoolbox/Examples. Finally, SPARKtoolbox/Dependencies contains a subset of auxiliary functions used for the analysis of synthetic data.

    Journal: PLOS One

    Article Title: SPectral graph theory And Random walK (SPARK) toolbox for static and dynamic characterization of (di)graphs: A tutorial

    doi: 10.1371/journal.pone.0319031

    Figure Lengend Snippet: The root folder SPARKtoolbox contains five main subfolders: SPARKtoolbox/RandomWalk, SPARKtoolbox/SpectralGT, SPARKtoolbox/Results, SPARKtoolbox/Examples and SPARKtoolbox/Dependencies. The SPARKtoolbox/RandomWalk and the SPARKtoolbox/SpectralGT subfolders are further subdivided into four leaf-folders with the MATLAB functions for weighted directed, weighted undirected, unweighted directed and unweighted undirected graphs. The SPARKtoolbox/Examples and SPARKtoolbox/Results subfolders contain the MATLAB code and the results for the examples on synthetic data. The MATLAB scripts to import and analyze real data from the UCI repository have also been provided in SPARKtoolbox/Examples. Finally, SPARKtoolbox/Dependencies contains a subset of auxiliary functions used for the analysis of synthetic data.

    Article Snippet: In the emerging field of graph signal processing, for example, the Graph Signal Processing Toolbox [ ] is an open-source MATLAB toolbox that can be used to tackle graph-related problems with a signal processing approach.

    Techniques: