Modified class DCfc: calculation of fft bins after Bath.
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@ -156,15 +156,17 @@ class DCfc(Magnitude):
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# fft
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# fft
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fny = tr.stats.sampling_rate / 2
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fny = tr.stats.sampling_rate / 2
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N = 1024
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l = len(xdat) / tr.stats.sampling_rate
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n = tr.stats.sampling_rate * l # number of fft bins after Bath
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# find next power of 2 of data length
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m = pow(2, np.ceil(np.log(len(xdat)) / np.log(2)))
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N = int(np.power(m, 2))
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y = tr.stats.delta * np.fft.fft(xdat, N)
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y = tr.stats.delta * np.fft.fft(xdat, N)
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Y = abs(y[: N/2])
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Y = abs(y[: N/2])
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L = (N - 1) / tr.stats.sampling_rate
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L = (N - 1) / tr.stats.sampling_rate
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f = np.arange(0, fny, 1 / L)
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f = np.arange(0, fny, 1/L)
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#if self.getiplot() > 1:
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if self.getiplot() > 1:
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iplot=2
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if iplot > 1:
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f1 = plt.figure(1)
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f1 = plt.figure(1)
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plt.subplot(2,1,1)
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plt.subplot(2,1,1)
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plt.plot(t, np.multiply(tr, 1000), 'k') # show displacement in mm
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plt.plot(t, np.multiply(tr, 1000), 'k') # show displacement in mm
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