Created
October 24, 2018 08:52
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triangle smoothing filter in python
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| def triangle_filter(self, n): | |
| f = np.zeros((1+2*n)) | |
| for i in range(n): | |
| f[i] = i+1 | |
| f[-i-1] = i+1 | |
| f[n] = n + 1 | |
| return f / np.sum(f) | |
| filter = triangle_filter(smoothing_factor) | |
| tmp = np.pad(data, smoothing, mode='edge') | |
| res = np.convolve(tmp, filter, mode='valid') | |
| data = res |
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