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41 lines
866 B
Python
41 lines
866 B
Python
import numpy as np
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import matplotlib.pyplot as plt
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f_s = 600
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t_s = 1 / f_s
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f_c = 20
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bit_len = 100
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bits = [True, True, False, False, True]
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# FSK
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y = []
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for i, b in enumerate(bits):
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factor = 1 if b else 0.5
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y.extend(np.cos(2 * np.pi * (f_c * factor) * t_s * np.arange(i * bit_len, (i + 1) * bit_len)))
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x = np.arange(0, len(bits) * bit_len)
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plt.subplot(311)
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plt.plot(x, y)
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plt.subplot(312)
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# IQ Bilden
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iq_signal = []
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v = []
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for n, value in enumerate(y):
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iq_signal.append(np.exp(-1j * 2 * np.pi * f_c * t_s * n) * value)
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iq_signal = np.array(iq_signal)
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plt.plot(x, iq_signal.real)
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plt.subplot(313)
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angles = [0]
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for i in range(1, len(iq_signal)):
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prev_sample = iq_signal[i - 1]
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sample = iq_signal[i]
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angles.append(np.arctan2(prev_sample.imag, prev_sample.real) - np.arctan2(sample.imag, sample.real))
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plt.plot(x, angles, "ro")
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plt.show()
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