scipy.signal.resample

scipy.signal.resample(x, num, t=None, axis=0, window=None)

Resample to num samples using Fourier method along the given axis.

The resampled signal starts at the same value of x but is sampled with a spacing of len(x) / num * (spacing of x). Because a Fourier method is used, the signal is assumed periodic.

Window controls a Fourier-domain window that tapers the Fourier spectrum before zero-padding to aleviate ringing in the resampled values for sampled signals you didn’t intend to be interpreted as band-limited.

If window is a string then use the named window. If window is a float, then it represents a value of beta for a kaiser window. If window is a tuple, then the first component is a string representing the window, and the next arguments are parameters for that window.

Possible windows are:

‘blackman’ (‘black’, ‘blk’) ‘hamming’ (‘hamm’, ‘ham’) ‘bartlett’ (‘bart’, ‘brt’) ‘hanning’ (‘hann’, ‘han’) ‘kaiser’ (‘ksr’) # requires parameter (beta) ‘gaussian’ (‘gauss’, ‘gss’) # requires parameter (std.) ‘general gauss’ (‘general’, ‘ggs’) # requires two parameters

(power, width)

The first sample of the returned vector is the same as the first sample of the input vector, the spacing between samples is changed from dx to

dx * len(x) / num

If t is not None, then it represents the old sample positions, and the new sample positions will be returned as well as the new samples.