2009•arXiv (Cornell University)Open access

Spectral Models for Orthonormal Wavelets and Multiresolution Analysis of $L^2({\mathbb R})$

F. Gómez-Cubillo, Z. Suchanecki

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Abstract

Spectral representations of the dilation and translation operators on $L^2({\mathbb R})$ are built through appropriate bases. Orthonormal wavelets and multiresolution analysis are then described in terms of rigid operator-valued functions defined on the functional spectral spaces. The approach is useful for computational purposes.

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Spectral representations of the dilation and translation operators on $L^2({\mathbb R})$ are built through appropriate bases. Orthonormal wavelets and multiresolution analysis are then described in terms of rigid operator-valued functions defined on the functional spectral spaces. The approach is useful for computational purposes.

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Available abstract

Spectral representations of the dilation and translation operators on $L^2({\mathbb R})$ are built through appropriate bases. Orthonormal wavelets and multiresolution analysis are then described in terms of rigid operator-valued functions defined on the functional spectral spaces. The approach is useful for computational purposes.

Key concepts: Orthonormal basis, Multiresolution analysis, Wavelet, Dilation (metric space), Spectral analysis, Translation (biology), Operator (biology), Mathematics

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