The Discrete Wavelet Transform (DWT) is a mathematical technique used to decompose a signal into its constituent wavelets at different scales and positions, providing both time and frequency localization. This transformation is particularly powerful for analyzing non-stationary signals, allowing for the extraction of temporal features while preserving frequency information. The DWT uses filter banks to process the data, making it essential for various applications in signal processing, image compression, and data analysis.
congrats on reading the definition of Discrete Wavelet Transform. now let's actually learn it.