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matlab script peakdetb.m  (MathWorks Inc)


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    MathWorks Inc matlab script peakdetb.m
    Example of signal treatment to obtain vortex formation times. –, Single realization of exit velocity waveform u n for case Re h = 7160, f * = 0.04; –, low-pass filtered waveform, u ˜ n ., –, velocity fluctuation u fluc Peaks of u fluc detected by <t>peakdetB.m</t> indicated by black squares. Vortex formation time estimates, Δ t 1 and Δ t 2 , for the first two vortices are also indicated.
    Matlab Script Peakdetb.M, 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 script peakdetb.m/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab script peakdetb.m - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "Vortex Formation Times in the Glottal Jet, Measured in a Scaled-Up Model"

    Article Title: Vortex Formation Times in the Glottal Jet, Measured in a Scaled-Up Model

    Journal: Fluids (Basel, Switzerland)

    doi: 10.3390/fluids6110412

    Example of signal treatment to obtain vortex formation times. –, Single realization of exit velocity waveform u n for case Re h = 7160, f * = 0.04; –, low-pass filtered waveform, u ˜ n ., –, velocity fluctuation u fluc Peaks of u fluc detected by peakdetB.m indicated by black squares. Vortex formation time estimates, Δ t 1 and Δ t 2 , for the first two vortices are also indicated.
    Figure Legend Snippet: Example of signal treatment to obtain vortex formation times. –, Single realization of exit velocity waveform u n for case Re h = 7160, f * = 0.04; –, low-pass filtered waveform, u ˜ n ., –, velocity fluctuation u fluc Peaks of u fluc detected by peakdetB.m indicated by black squares. Vortex formation time estimates, Δ t 1 and Δ t 2 , for the first two vortices are also indicated.

    Techniques Used:



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    matlab script peakdetb.m  (MathWorks Inc)
    90
    MathWorks Inc matlab script peakdetb.m
    Example of signal treatment to obtain vortex formation times. –, Single realization of exit velocity waveform u n for case Re h = 7160, f * = 0.04; –, low-pass filtered waveform, u ˜ n ., –, velocity fluctuation u fluc Peaks of u fluc detected by <t>peakdetB.m</t> indicated by black squares. Vortex formation time estimates, Δ t 1 and Δ t 2 , for the first two vortices are also indicated.
    Matlab Script Peakdetb.M, 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 script peakdetb.m/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab script peakdetb.m - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Example of signal treatment to obtain vortex formation times. –, Single realization of exit velocity waveform u n for case Re h = 7160, f * = 0.04; –, low-pass filtered waveform, u ˜ n ., –, velocity fluctuation u fluc Peaks of u fluc detected by peakdetB.m indicated by black squares. Vortex formation time estimates, Δ t 1 and Δ t 2 , for the first two vortices are also indicated.

    Journal: Fluids (Basel, Switzerland)

    Article Title: Vortex Formation Times in the Glottal Jet, Measured in a Scaled-Up Model

    doi: 10.3390/fluids6110412

    Figure Lengend Snippet: Example of signal treatment to obtain vortex formation times. –, Single realization of exit velocity waveform u n for case Re h = 7160, f * = 0.04; –, low-pass filtered waveform, u ˜ n ., –, velocity fluctuation u fluc Peaks of u fluc detected by peakdetB.m indicated by black squares. Vortex formation time estimates, Δ t 1 and Δ t 2 , for the first two vortices are also indicated.

    Article Snippet: The fluctuating velocity waveform u fluc is then analyzed using a MATLAB script peakdetB.m , which computes the time index and amplitude of a signal at the local maxima and minima of a time series.

    Techniques: