The inverse wavelet transform is a mathematical process that reconstructs a signal from its wavelet coefficients, essentially reversing the analysis performed by the wavelet transform. This process allows for the recovery of the original signal from its transformed representation, enabling applications in signal processing, image compression, and noise reduction. It is particularly crucial when working with families of wavelets, such as Daubechies wavelets, as it ensures that no information is lost during the transformation process.
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