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Denoise Noisy Doppler Signal

Use Signal Analyzer to denoise the noisy Doppler signal and display its scalogram. This example requires a Wavelet Toolbox™ license.

Load the noisy Doppler signal.

load noisdopp

Open Signal Analyzer and drag the signal from the Workspace Browser to the Signal table. Duplicate the signal. Rename the duplicate noisdoppDenoise. Click Display Grid to create a one-by-two grid of displays. Plot noisdopp in the left display and noisdoppDenoise in the right display.

Signal Analyzer app showing two displays. On the left, original signal. On the right, renamed copy of the original signal.

Select the right display and highlight the name noisdoppDenoise in the Signal table. Select the Analyzer tab, click Preprocess to enter the preprocessing mode, and choose Denoise from the list of preprocessing options.

List of preprocessing options in Signal Analyzer

Use the Function Parameters panel to adjust and apply denoising parameters to the selected signal. For more information, see Wavelet Signal Denoiser (Wavelet Toolbox). Click Apply to denoise the signal with the default settings. Click Accept All to save the preprocessing results and exit the mode. The denoised signal is smoother than the original signal.

Signal Analyzer app showing two displays. On the left, original signal. On the right, denoised signal with default settings.

To denoise the signal with a different set of parameters, click Undo Preprocessing, reenter the preprocessing mode, and select Denoise. In the Function Parameters panel, select Universal Threshold from the Denoising Method dropdown list and Hard from the Thresholding dropdown list. Click Apply and exit the mode.

Signal Analyzer app showing two displays. On the left, original signal. On the right, denoised signal with updated settings.

To see the effects of denoising on the scalogram, click Time-Frequency on the Display tab and select Scalogram. Click on the left display and repeat the steps.

Signal Analyzer app showing two displays and two views in each display. On the left, original signal and its scalogram. On the right, denoised signal and its scalogram.

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