Wavelet transforms are mathematical tools used to analyze and represent signals in a way that captures both frequency and time information. Unlike traditional Fourier transforms, which only provide frequency information, wavelet transforms decompose a signal into wavelets that can adapt to different scales and positions, making them ideal for analyzing non-stationary signals and understanding localized features.
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