11.10.2. astroML.fourier.IFT_continuous¶

astroML.fourier.IFT_continuous(f, H, axis=- 1, method=1)[source]¶

Approximate a continuous 1D Inverse Fourier Transform with sampled data.

This function uses the Fast Fourier Transform to approximate the continuous fourier transform of a sampled function, using the convention

$H(f) = integral[ h(t) exp(-2 pi i f t) dt] h(t) = integral[ H(f) exp(2 pi i f t) dt]$

It returns t and h, which approximate h(t).

Parameters

farray_like: regularly sampled array of times t is assumed to be regularly spaced, i.e. f = f0 + Df * np.arange(N)
Harray_like: real or complex signal at each time
axisint: axis along which to perform fourier transform. This axis must be the same length as t.

Returns