Wavelet decomposition is a signal processing technique that breaks down a signal into its constituent parts using wavelets, which are localized waves that can capture both frequency and temporal information. This method allows for the analysis of signals at different scales or resolutions, providing a multi-resolution representation of the data. The process is particularly useful for analyzing non-stationary signals, enabling efficient compression and denoising.
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