Vanishing moments refer to the property of a function or wavelet where certain integrals of the wavelet or its translates vanish. This characteristic is crucial for analyzing and reconstructing signals, especially in the context of wavelet transforms, where it ensures that the wavelet can effectively represent functions that have specific regularity or smoothness properties. The number of vanishing moments directly relates to the wavelet's ability to capture polynomial features of the signal.
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