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import math
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import numpy as np
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from bin16 import *
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from fft import *
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import matplotlib.pyplot as plt
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nb_points = 256
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nb_periods = 10
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amplitude = 1000
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time_vec = np.arange(0, nb_points, 1)
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teta = nb_periods * time_vec * 2 * np.pi/ nb_points
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Afloat = 10000 * np.sin( teta )
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Aint = np.zeros(len(time_vec))
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for i in range(len(time_vec)):
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Aint[i] = quant16( Afloat[i], -pow(2,16)/2, +pow(2,16)/2 )
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plt.figure(1)
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plt.plot(time_vec,Afloat,'b.')
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plt.plot(time_vec,Aint,'r.')
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plt.show()
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Afloat_FFT = np.fft.fft(Afloat)/len(time_vec)
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# plt.figure(2)
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# plt.plot(abs(Afloat_FFT[0:100]),'g')
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# plt.show()
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# plt.figure(3)
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# plt.plot(time_vec,Aint,'r')
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# plt.show()
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Aint_FFT = fft_CT(Aint)
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plt.figure(4)
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plt.plot(abs(Afloat_FFT[0:100]),'g')
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plt.scatter(range(100),1.0 * abs(Aint_FFT[0:100])/16384)
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plt.title("Comparing the FFT's")
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plt.show()
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