Wavelet denoising is a signal processing technique that uses wavelet transforms to remove noise from signals or images while preserving important features and details. This method is particularly useful in biomedical applications, where the quality of data from instruments can be affected by noise, ensuring that critical information for analysis remains intact.
congrats on reading the definition of wavelet denoising. now let's actually learn it.