Wavelet analysis is a mathematical method for signal processing and data analysis that decomposes a signal or function into constituent wavelets localized in both time and frequency. This multi-resolution approach enables the investigation of transient phenomena, non-stationary signals, and localized features across various scales, offering advantages over purely spectral techniques like Fourier analysis for specific applications.