Wavelet analysis is a powerful mathematical tool used for decomposing and analyzing complex data sets. Unlike Fourier transforms, which break down data into sine and cosine components, wavelet transforms allow for both time and frequency localization, making them especially useful for analyzing non-stationary signals.
