| Wavelet Toolbox | |
De-Noising Signals
The purpose of this example is to show how to de-noise a signal using wavelet analysis. This example also gives us an opportunity to demonstrate the automatic thresholding feature of the Wavelet 1-D graphical interface tool. The signal to be analyzed is a Doppler-shifted sinusoid with some added noise.
Discussion
We note that the highest frequencies appear at the start of the original signal. The successive approximations appear less and less noisy; however, they also lose progressively more high-frequency information. In approximation A5, for example, about the first 20% of the signal is truncated.
Click the De-noise button to bring up the Wavelet 1-D De-Noising window. This window shows each detail along with its automatically set de-noising threshold.
Click the De-noise button. On the screen, the original and de-noised signals appear superimposed in red and yellow, respectively.
Note that the de-noised signal is flat initially. Some of the highest-frequency signal information was lost during the de-noising process, although less was lost here than in the higher level approximations A4 and A5.
For this signal, wavelet packet analysis does a better job of removing the noise without compromising the high-frequency information. Explore on your own: try repeating this analysis using the Wavelet Packet 1-D tool. Select the menu item File
Example Analysisnoisdopp.
| | Suppressing Signals | De-Noising Images | |
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