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The wavelet transform is a method developed as an alternative to the classical Fourier transform, providing local information in the time-frequency plane. While the global nature of the Fourier transform limits its effectiveness in analyzing signals that vary over time, the wavelet transform can decompose a signal into different time and frequency bands to enable local analysis. The fundamental building blocks used in the wavelet transform are functions derived from a base function known as the