Is there any general-purpose form of short-time Fourier transform with corresponding inverse transform built into SciPy or NumPy or whatever?
There\'s the pyplot
A fixed version of basj's answer.
import scipy, numpy as np
import matplotlib.pyplot as plt
def stft(x, fftsize=1024, overlap=4):
hop=fftsize//overlap
w = scipy.hanning(fftsize+1)[:-1] # better reconstruction with this trick +1)[:-1]
return np.vstack([np.fft.rfft(w*x[i:i+fftsize]) for i in range(0, len(x)-fftsize, hop)])
def istft(X, overlap=4):
fftsize=(X.shape[1]-1)*2
hop=fftsize//overlap
w=scipy.hanning(fftsize+1)[:-1]
rcs=int(np.ceil(float(X.shape[0])/float(overlap)))*fftsize
print(rcs)
x=np.zeros(rcs)
wsum=np.zeros(rcs)
for n,i in zip(X,range(0,len(X)*hop,hop)):
l=len(x[i:i+fftsize])
x[i:i+fftsize] += np.fft.irfft(n).real[:l] # overlap-add
wsum[i:i+fftsize] += w[:l]
pos = wsum != 0
x[pos] /= wsum[pos]
return x
a=np.random.random((65536))
b=istft(stft(a))
plt.plot(range(len(a)),a,range(len(b)),b)
plt.show()