Fast wavelet transform

The fast wavelet transform (FWT) is a mathematical technique used to analyze and process signals or images. Unlike traditional methods that break data down into basic frequencies, FWT uses wavelets—small, localized wave-like functions. This allows it to capture both details and trends in data at various scales more effectively. It's fast because it requires fewer calculations than other methods, making it efficient for large datasets. FWT is widely applied in fields like image compression, noise reduction, and data analysis, offering a powerful way to extract meaningful information from complex signals.