pygsti.extras.drift.signal.idft

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pygsti.extras.drift.signal.idft#

idft(modes, null_hypothesis, counts=1)#

Inverts the dft function.

Parameters:

  • modes (array) – The fourier modes to be transformed to the time domain.

  • null_hypothesis (array) –

    The array that was used in the normalization before the dct. This is

    commonly the mean of the time-domain data vector. All elements of this array must be in (0,1).

    countsint, optional

    A factor in the normalization, that should correspond to the counts-per-timestep (so for full time resolution this is 1).

Returns:

Inverse of the dft function

Return type:

array

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