The Discrete Wavelet Transform (DWT) is a mathematical technique used to transform a signal into its wavelet representation, providing both time and frequency localization. This transformation allows for efficient analysis of signals by breaking them down into smaller, manageable pieces called wavelets, which can capture changes in frequency and time more effectively than traditional methods like the Discrete Fourier Transform. DWT is especially useful in applications such as image compression and denoising, where preserving important features while reducing noise is crucial.
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