Owning Palette: Correlation and Spectral Analysis VIs
Installed With: Advanced Signal Processing Toolkit
Computes the cross-correlation values of two input univariate time series. Wire data to the Xt input to determine the polymorphic instance to use or manually select the instance.
Use the pull-down menu to select an instance of this VI.
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weighting specifies to use the biased or unbiased weighting in the cross-correlation calculation. The default is Biased. Refer to the Details section for information about this parameter. | ||||||
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Xt specifies the input univariate time series. | ||||||
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Yt specifies another input univariate time series. You use this time series to perform cross-correlation with Xt. | ||||||
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maximum lag specifies the maximum value of the lag this VI uses to compute the cross-correlation. The default is –1, which means the maximum lag equals max(M, N)–1, where M and N are the lengths of Xt and Yt, respectively. | ||||||
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error in describes error conditions that occur before this VI or function runs.
The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
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cross-correlation returns the cross-correlation values between the two input time series Xt and Yt. | ||||||
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correlogram plots the cross-correlation values against the lag. | ||||||
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error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces.
Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
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c.gif)
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weighting specifies to use the biased or unbiased weighting in the cross-correlation calculation. The default is Biased. Refer to the Details section for information about this parameter. | ||||||
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Xt specifies the input univariate time series. | ||||||
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Yt is the input univariate time series. | ||||||
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maximum lag specifies the maximum value of the lag this VI uses to compute the cross-correlation. The default is –1, which means the maximum lag equals max(M, N)–1, where M and N are the lengths of Xt and Yt, respectively. | ||||||
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error in describes error conditions that occur before this VI or function runs.
The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
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cross-correlation returns the cross-correlation values between the two input time series Xt and Yt. | ||||||
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correlogram plots the cross-correlation values against the lag. | ||||||
![]() |
error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces.
Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
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This VI computes the cross-correlation values between two univariate time series Xt and Yt according to the following equation:

where

Xt has length N and Yt has length M. The length of the output is N+M–1.
w is the weighting factor.
When weighting is biased, w(k) = 1.
When weighting is unbiased,

Refer to the Correlation Analysis VI in the labview\examples\Time Series Analysis\TSAGettingStarted.llb for an example of using the TSA Cross-Correlation Function VI.