👉 Wavelet Analysis (Wav Math) is a mathematical technique used to analyze signals by decomposing them into different frequency components over time. Unlike Fourier Transform, which represents signals in the frequency domain only, Wavelets provide a time-frequency representation, allowing for the analysis of non-stationary signals—signals whose frequency content changes over time. Wavelets use a set of basis functions called wavelets, which are localized in both time and frequency, making them particularly effective for capturing transient features and sharp changes in signals. This makes Wavelet Analysis invaluable in various fields, including image compression, noise reduction, and signal processing.
