Discrete Wavelet Transform

The Discrete Wavelet Transform (DWT) is a mathematical technique used to analyze signals or images by breaking them into different frequency components at various scales. Unlike traditional methods that look at overall frequency, DWT captures both the frequency content and the location of features, allowing for detailed analysis of signals' details and patterns. This process helps in tasks like data compression, noise reduction, and feature extraction, making it a powerful tool in image processing, audio analysis, and more. Essentially, DWT provides a multi-layered view of data, revealing important information at different levels of detail.