SuperletTransform

class SuperletTransform(inputSize, samplingRate, baseCycles, superletOrders, frequencyRange=None, frequencyBins=None, frequencies=None)

Class used to compute the Superlet Transform of input data.

This class implements the superlet transform algorithm for time-frequency

analysis as described in Moca et al., 2021.

__del__()

Destructor.

Cleans up resources when the object is deleted.

clear()

Clear the transform.

Resets all internal variables to None, freeing memory.

longestWaveletSize()

Return the size of the longest wavelet.

Returns:

Size of the longest wavelet in samples.

Return type:

int

transform(inputData)

Apply the transform to a buffer or list of buffers.

Parameters:

inputData (ndarray) –

An NDarray of input data. Can be a single buffer or a list of

buffers.

Returns:

The transformed data as a time-frequency representation.

Return type:

ndarray

Raises:

Exception – If input data size doesn’t match the defined input size for this transform.

transformOne(inputData, accumulator)

Apply the superlet transform on a single data buffer.

Parameters:

• inputData (ndarray) – A 1xInputSize array containing the signal to be transformed.

• accumulator (ndarray) – A spectrum to accumulate the resulting superlet transform.

Notes

This method modifies the accumulator array in-place.

validTimeRegion()

Compute the start and end of the valid spectrum region.

Returns:

A tuple containing:

• startint

  The start of the valid time region.

• endint

  The end of the valid time region.

Return type:

tuple