Computes the single-sided power spectral density (PSD) of a univariate or multivariate (vector) time series using the multiple signal classification (MUSIC) method. The MUSIC method performs a comprehensive and accurate spectral analysis on multivariate time series. Wire data to the Xt input to determine the polymorphic instance to use or manually select the instance.


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Inputs/Outputs

  • ci32.png frequency bins

    frequency bins specifies the number of frequency bins for which this VI computes the single-sided power spectral density PSD. The length of the single-sided PSD is (frequency bins/2+1). The default is 1024.

  • cmsdt.png Xt

    Xt specifies the univariate time series.

  • cnclst.png window info

    window info specifies the information of the sliding window that divides the time series into subsequences.

  • cu16.png window

    window specifies the time-domain window applied to the time series. Options include None (default), Hanning, Hamming, Blackman-Harris, Exact Blackman, Blackman, Flat Top, 4 Term B-Harris, 7 Term B-Harris, and Low Sidelobe.

  • ci32.png length

    length specifies the length of the window. A large window generates a power spectral density (PSD) with small bias but results in a coarse PSD plot. A small window generates a smooth PSD plot but leads to large bias. The default is -1, which indicates that the window length equals the length of the input time series.

  • cdbl.png overlap (%)

    overlap specifies the overlap, in percentage, of the moving window that this VI applies to the time series. This parameter determines how much data this VI reuses for the signal space matrix. A large overlap reduces the variance of the resulting power spectrum but increases computation time. The default is 50, which specifies that the overlap is half of the window length.

  • cerrcodeclst.png error in (no error)

    error in describes error conditions that occur before this node runs. This input provides standard error in functionality.

  • cbool.png dB on? (T)

    dB on? specifies whether this VI returns the PSD in decibels or in a linear scale. If dB on? is TRUE, this VI returns the PSD in decibels. If dB on? is FALSE, this VI returns the PSD in a linear scale. The default is TRUE.

  • cnclst.png subspace settings

    subspace settings specifies options for the MUSIC method.

  • cdbl.png noise subspace (%)

    noise subspace specifies the percentage of the noise subspace in the whole space, which is the combination of the signal subspace and the noise subspace. The default is -1, which means this VI calculates an appropriate value for the noise subspace.

  • cu16.png weighting

    weighting specifies the weighting method for spectrum estimation.

  • icclst.png PSD

    PSD returns information about the single-sided power spectral density (PSD).

  • idbl.png f0

    f0 returns the lower boundary, in hertz, of the frequency range.

  • idbl.png df

    df returns the frequency increment, in hertz.

  • i1ddbl.png S(f)

    S(f) returns the magnitude of the PSD at each frequency. The value of dB on? determines the unit of measurement for this parameter.

  • istr.png unit

    unit returns the engineering unit of the PSD. You can specify an engineering unit for a time series by using the TSA Scale to EU VI.

  • ierrcodeclst.png error out

    error out contains error information. This output provides standard error out functionality.