DWT stands for Discrete Wavelet Transform, which is a mathematical tool used for analyzing and processing data signals. It is a technique that breaks down a signal into small, more manageable parts called wavelets, which are then analyzed for their frequency and amplitude distributions. This makes the signal easier to process and understand, and is used extensively in image and audio processing, including compression, noise reduction, and feature extraction. The DWT is also used in other fields such as geology, finance, and electronics for signal analysis. It was first introduced in the late 1980s and has since undergone many enhancements and variations.
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