Computes the entropy of a univariate or multivariate (vector) time series. Wire data to the Xt input to determine the polymorphic instance to use or manually select the instance.


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TSA Entropy Details

This VI computes the Shannon entropy according to the following equation:

When Xt²(i)=0, let log(Xt²(i))=0. n is the number of samples of the input time series.

This VI computes the Threshold entropy according to the following equation:

where t(i)=1 if abs(Xt(i))>p and 0 elsewhere. n is the number of samples of the input time series, and p is reference value.

This VI computes the Sure entropy according to the following equation:

where m(i)=1 if abs(Xt(i))>p and 0 elsewhere, n(i)=1 if abs(Xt(i)) >=p and 0 elsewhere

n is number of samples of the input time series, and p is reference value.

This VI computes the Norm entropy according to the following equation:

where n is the number of samples of the input time series. p is reference value.

This VI computes the Energy entropy according to the following equation:

When Xt²(i)=0, let log(Xt²(i))=0. n is the number of samples of the input time series.

Examples

Refer to the Series Statistical Analysis VI in the labview\examples\Time Series Analysis\TSAGettingStarted directory for an example of using the TSA Entropy VI.