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wgn function  (MathWorks Inc)


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    MathWorks Inc wgn function
    Wgn Function, 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/wgn function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    wgn function - by Bioz Stars, 2026-03
    90/100 stars

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    MathWorks Inc white gaussian noise matlab wgn function
    The skater's velocity and trajectory are obtained by time integration and double-time integration of the free acceleration obtained by the IMUs. Methods were originally proposed <t> (S1–S4) </t> to remove the drift in these integration processes.
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    The skater's velocity and trajectory are obtained by time integration and double-time integration of the free acceleration obtained by the IMUs. Methods were originally proposed  (S1–S4)  to remove the drift in these integration processes.

    Journal: Scientific Reports

    Article Title: Measurement of temporal and spatial parameters of ice hockey skating using a wearable system

    doi: 10.1038/s41598-022-26777-9

    Figure Lengend Snippet: The skater's velocity and trajectory are obtained by time integration and double-time integration of the free acceleration obtained by the IMUs. Methods were originally proposed (S1–S4) to remove the drift in these integration processes.

    Article Snippet: S2 , (i) Similar to S1.i (ii) Generate white Gaussian noise using a MATLAB wgn function (input arguments: the signal-to-noise ratio: − 15 decibels (dB), and its length equal to the sensor acceleration time series). Then scale it to match the corrected sensor acceleration amplitude range in the selected resting period. Afterward, subtract the obtained output from the corrected sensor acceleration time series and store it as corrected acceleration time series (iii) Calculate the corrected free acceleration (during motion) using the corrected acceleration time series (output of S2.ii) and the sensor orientation (iv) Similar to S1.iii.

    Techniques: