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April 12, 2020 04:24
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DSSS - FFT plot of spread Vs despread signals
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| f = signal.resample(mot, 512) | |
| N = 512 | |
| # sample spacing | |
| T = 1.0 / 12000.0 | |
| yf = fft(f) | |
| xf = fftfreq(N, T) | |
| xf = fftshift(xf) | |
| yplot = fftshift(yf) | |
| f1 = signal.resample(z, 512) | |
| N = 512 | |
| # sample spacing | |
| T = 1.0 / 12000.0 | |
| yf1 = fft(f1) | |
| xf1 = fftfreq(N, T) | |
| xf1 = fftshift(xf1) | |
| yplot1 = fftshift(yf1) | |
| fig, (ax1, ax2) = plt.subplots(2, figsize=(30,20)) | |
| # fig.suptitle('Vertically stacked subplots') | |
| ax1.plot(xf, 1.0/N * np.abs(yplot)) | |
| ax1.set(xlabel='Frequency', ylabel='Magnitude') | |
| ax1.set_title('Fourier transform of De-Spread/Un-Mixed wave', fontsize=20, fontweight="bold") | |
| ax2.plot(xf1, 1.0/N * np.abs(yplot1)) | |
| ax2.set(xlabel='Frequency', ylabel='Magnitude') | |
| ax2.set_title('Fourier transform of Spread/Mixed wave', fontsize=20, fontweight="bold") |
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