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import numpy as np | |
from math import pi, log | |
import pylab | |
from scipy import fft, ifft | |
from scipy.optimize import curve_fit | |
i = 10000 | |
x = np.linspace(0, 3.5 * pi, i) | |
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 * | |
np.random.randn(i)) |
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#!/usr/bin/env python | |
# -*- encoding: UTF8 -*- | |
# Author: Philipp Klaus, philipp.l.klaus AT web.de | |
# This file is part of PfeifferVacuum.py. | |
# | |
# PfeifferVacuum.py is free software: you can redistribute it and/or modify | |
# it under the terms of the GNU General Public License as published by | |
# the Free Software Foundation, either version 3 of the License, or |