fast fourier transform python
# This is from the question
from scipy.fftpack import fft
# Number of samplepoints
N = 600
# Sample spacing
T = 1.0 / 800.0
x = np.linspace(0.0, N*T, N)
y = np.sin(50.0 * 2.0*np.pi*x) + 0.5*np.sin(80.0 * 2.0*np.pi*x)
yf = fft(y)Fast Fourier Transform
n = n/2 iden = np.identity(n) diag = np.diag([exp(I*pi*j/n) for j in range(n)]) coeff = np.block([[iden, diag], [iden, -diag]]) ye = y[0:][::2] yo = y[1:][::2] return mv(coeff, np.concatenate((fft(ye), fft(yo))))Copyright © 2021 Codeinu
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