The wavelet transform is a mathematical tool that decomposes a signal into components at various scales. Unlike the traditional Fourier transform, which only provides frequency information, wavelet transform offers both time and frequency localization. This makes it particularly useful for analyzing non-stationary signals, which are common in nanotechnology applications.
