Wavelet transform is a mathematical technique used for analyzing and representing data in different frequency components while maintaining time localization. Unlike traditional Fourier transform, which provides frequency information but loses time information, wavelet transform allows for both frequency and time analysis. This makes it particularly useful for analyzing non-stationary signals where the frequency content changes over time. ### Key Features of Wavelet Transform: 1. **Multi-Resolution Analysis**: Wavelet transform decomposes a signal into different frequency components at various resolutions.
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