Mallat's Theorem provides a mathematical framework for understanding multiresolution analysis, particularly in the context of wavelet transforms. This theorem establishes the conditions under which a signal can be represented at multiple resolutions, enabling efficient signal representation and processing by decomposing it into different frequency components. The connections to orthogonal wavelets and their properties are crucial for applications in data compression, image processing, and approximation theory.
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