11.10.3. astroML.fourier.PSD_continuous¶

astroML.fourier.
PSD_continuous
(t, h, axis=1, method=1)[source]¶ Approximate a continuous 1D Power Spectral Density of sampled data.
This function uses the Fast Fourier Transform to approximate the continuous fourier transform of a sampled function, using the convention
It returns f and PSD, which approximate PSD(f) where
 Parameters
 tarray_like
regularly sampled array of times t is assumed to be regularly spaced, i.e. t = t0 + Dt * 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
 fndarray
frequencies of result. Units are the same as 1/t
 PSDndarray
Fourier coefficients at each frequency.