Computes the Choi-Williams Distribution (CWD) of signal. Wire data to the signal input to determine the polymorphic instance to use or manually select the instance.


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TFA Choi-Williams Distribution Details

CWD is a type of Cohen's class distribution and is the smooth version of the Wigner-Ville Distribution (WVD). CWD has better readability than WVD but worse time-frequency resolution, because CWD suppresses the cross-term interference between two signal components that have a large difference in central time or central frequency. However, CWD does not suppress the cross-term interference between two signal components that have the same central time or the same central frequency. Therefore, for large values of the signal length, this VI requires a long computation time and more memory. National instruments recommends that you limit signal to 15,000 samples.

Examples

Refer to the Marginal Condition VI in the labview\examples\Time Frequency Analysis\TFAFunctions directory for an example of using the TFA Choi-Williams Distribution VI.