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    Applies a scaled window to the input sequence x. Wire data to the x input to determine the instance to use.



    A real vector.

    Default: [0]{}



    The window to apply to x.

    0 0 Rectangle (default)
    1 1 Hanning
    2 2 Hamming
    3 3 Blackman-Harris
    4 4 Exact Blackman
    5 5 Blackman
    6 6 Flat Top
    7 7 4 Term B-Harris
    8 8 7 Term B-Harris
    9 9 Low Sidelobe
    11 11 Blackman Nuttall
    30 30 Triangle
    31 31 Bartlett-Hanning
    32 32 Bohman
    33 33 Parzen
    34 34 Welch
    60 60 Kaiser
    61 61 Dolph-Chebyshev
    62 62 Gaussian

    Default: 0


    window parameter

    Beta parameter for a Kaiser window, the standard deviation for a Gaussian window, and the ratio, s, of the main lobe to the side lobe for a Dolph-Chebyshev window. If window is any other window, this VI ignores this input. The default value of window parameter is NaN, which sets beta to 0 for a Kaiser window, the standard deviation to 0.2 for a Gaussian window, and s to 60 for a Dolph-Chebyshev window.


    windowed x

    The input signal with the window applied.


    window properties

    Coherent gain and equivalent noise bandwidth of the window.


    eq noise BW

    Equivalent noise bandwidth of the window. You can use eq noise BW to divide a sum of individual power spectra or to compute the power in a given frequency span.


    coherent gain

    Inverse of the scaling factor this VI applies to the window.



    A value that represents any error or warning that occurs when this node executes.