superlets¶

superlets(data, fs, foi, c1, ord)[source][source]¶

Perform fractional adaptive superlet transform (FASLT) on a list of trials.

Parameters:

data (ndarray) –

A numpy array of data. The rightmost dimension of the data is the trial
size. The result will be the average over all the spectra.
fs (float) – The sampling rate in Hz.
foi (array_like) – List of frequencies of interest.
c1 (float) – Base number of cycles parameter.
ord (tuple or list) – The order (for SLT) or order range (for FASLT), spanned across the frequencies of interest.

Returns:

A matrix containing the average superlet spectrum.

Return type:

ndarray

Notes

This is the main function for computing the superlet transform.

Examples using `ieeg.timefreq.superlets.superlets`¶