Approximation Theory
Regularity refers to the smoothness or continuity of a function or signal, often evaluated in terms of its derivatives. In the context of wavelet transforms, regularity plays a crucial role in determining how well a wavelet can represent a function, influencing both its approximation and reconstruction capabilities. Higher regularity often leads to better performance in signal processing tasks, such as compression and noise reduction.
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