WaveletTransform
The Wavelet Transform is a mathematical tool used for analyzing and representing signals or functions in both time and frequency domains. Unlike the Fourier Transform, which provides frequency information but lacks time localization, the Wavelet Transform offers a time-frequency representation, making it particularly useful for non-stationary signals. This transform uses wavelets, which are small waves of limited duration, to decompose a signal into different scale components.
The Continuous Wavelet Transform (CWT) is defined as the sum of the signal multiplied by scaled and
Wavelet transforms have several advantages over traditional Fourier transforms. They can capture both frequency and location
In summary, the Wavelet Transform is a powerful mathematical technique that combines elements of time and frequency