Python, Programming, Computer Science, Data Science, Electrical Engineering.
spectrum and inverse FFT to obtain the original signal. We then plot both results and time the fft function using a 2000 length signal. from numpy.fft import fft, ifft X = fft(x) N = len(X) n = np.arange(N) T = N/sr freq = n/T plt.figure(figsize = (12, 6)) plt.subplot(121) plt.stem(freq, np.abs(X),