Uses the Capon method to estimate the leading frequency components of a univariate time series. The Capon method uses a nonparametric method based on finite impulse response (FIR) filters to estimate the signal spectrum. Wire data to the Xt input to determine the polymorphic instance to use or manually select the instance.


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Inputs/Outputs

  • cenum.png sorting order —

    sorting order specifies the order in which this VI returns the frequency components.

  • cmsdt.png Xt —

    Xt specifies the univariate time series.

  • ci32.png FIR filter length —

    FIR filter length specifies the length, in samples, of the finite impulse response (FIR) filter this VI uses to estimate the PSD. FIR filter length must be less than n-10 where n is the length of Xt.

  • cnclst.png frequency band —

    frequency band specifies the start and the end of the frequency band this VI observes.

  • cdbl.png start —

    start specifies the starting frequency, in hertz, of the frequency band. The default is 0.

  • cdbl.png end —

    end specifies the ending frequency, in hertz, of the frequency band. The default is 0.5.

  • cerrcodeclst.png error in (no error) —

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

  • icclst.png frequency components —

    frequency components returns information about the frequency components this VI estimates.

  • i1ddbl.png frequency —

    frequency returns the frequency between start and end, in hertz, of each frequency component this VI estimates.

  • i1ddbl.png power —

    power returns the power, in the square of the unit of Xt, of each frequency component this VI estimates.

  • ierrcodeclst.png error out —

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

    • Examples

    Refer to the Leading Frequency Estimator VI in the labview\examples\Time Series Analysis\TSAGettingStarted directory for an example of using the TSA Capon Frequency Estimator VI.