Wavelet Transform
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Detailed Documentation
The wavelet transform facilitates signal decomposition into different frequency subbands, allowing for clearer understanding of signal frequency characteristics and enabling more granular signal processing. This decomposition technique employs mother wavelets and scaling functions to create multi-resolution representations of signals. Basic filtering operations can be implemented using wavelet coefficients to remove or attenuate noise and interference, thereby improving signal quality and readability. In practical signal processing workflows, these two approaches are often combined to achieve superior results - typically involving wavelet decomposition, coefficient thresholding for denoising, and subsequent reconstruction of the filtered signal.
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