ignore last data point in smoothing, at Nyquist frequency
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@ -136,6 +136,7 @@ def smoothSpectralData(freq, M, sw: SmoothingWidth,
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x0 = 1 if freq[0] == 0 else 0 # Skip first data point if zero frequency
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x0 = 1 if freq[0] == 0 else 0 # Skip first data point if zero frequency
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Psm[0] = P[0] # Reuse old value in case first data..
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Psm[0] = P[0] # Reuse old value in case first data..
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# ..point is skipped. Not plotted any way.
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# ..point is skipped. Not plotted any way.
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P[-1] = P[-2] # Last data point (Nyquist f) often invalid
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# Loop through data points
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# Loop through data points
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for x in range(x0, L):
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for x in range(x0, L):
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@ -173,7 +174,7 @@ def smoothSpectralData(freq, M, sw: SmoothingWidth,
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# Apply smoothing
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# Apply smoothing
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Psm[x] = np.dot(g, P[xl:xu])
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Psm[x] = np.dot(g, P[xl:xu])
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if st == SmoothingType.levels:
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if st == SmoothingType.levels:
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Psm = 10*np.log10(Psm)
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Psm = 10*np.log10(Psm)
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