40 lines
835 B
Python
40 lines
835 B
Python
import PyQt5
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import pyqtgraph as pg
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from pyqtgraph.Qt import QtGui, QtCore
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import numpy as np
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from scipy.signal import hilbert
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from scipy.fft import fft, fftfreq
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from scipy.signal.windows import hamming
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a = 250000
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b = 450000
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ch1 = np.load("siglent_ch1.npy")[a:b]
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ch2 = np.load("siglent_ch2.npy")[a:b]
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ch1 = ch1 - np.mean(ch1)
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ch2 = ch2 - np.mean(ch2)
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out_samples = []
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prev_ref = ch1[0]
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for sample, ref in zip(ch1, ch2):
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if prev_ref*ref < 0:
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out_samples.append(sample)
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prev_ref = ref
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app = QtGui.QApplication([])
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mainwindow = QtGui.QMainWindow()
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widget = pg.PlotWidget()
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mainwindow.setCentralWidget(widget)
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mainwindow.show()
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out_samples = out_samples*hamming(len(out_samples))
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widget.clear()
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widget.plot(2*473.6*fftfreq(len(out_samples))[:len(out_samples)//2], np.abs(fft(out_samples))[:len(out_samples)//2])
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app.exec_()
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