Wavelet decomposition is a mathematical process that involves breaking down a signal or function into its constituent wavelets, which are localized waves that can represent the signal at various scales and translations. This technique allows for efficient analysis and processing of signals, capturing both frequency and time information, making it particularly useful in applications like image compression and noise reduction.
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