Update README.md

Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -48,7 +48,22 @@ plt.show()
plt.plot(t, dirty_data)
plt.xlabel("Time [s]")
plt.ylabel("Perturbation ")
plt.ylabel("Dirty data waveform ")
plt.title("Dirty data waveform")
plt.show()
```
We get three fully random time series
![figure 1](image1.png)
Sine wave with random amplitudes as common perturbation
![figure 2](image2.png)
Both combined with random mixing coefficients
![figure 3](image3.png)
## Estimating the common signal