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- Diffusion_wavelets abstract "Diffusion wavelets are a fast multiscale framework for the analysis of functions on discrete (or discretized continuous) structures like graphs, manifolds, and point clouds in Euclidean space. Diffusion wavelets are an extension of classical wavelet theory from harmonic analysis. Unlike classical wavelets whose basis functions are predetermined, diffusion wavelets are adapted to the geometry of a given diffusion operator (e.g., a heat kernel or a random walk). Moreover, the diffusion wavelet basis functions are constructed by dilation using the dyadic powers (powers of two) of . These dyadic powers of diffusion over the space and propagate local relationships in the function throughout the space until they become global. And if the rank of higher powers of decrease (i.e., its spectrum decays), then these higher powers become compressible. From these decaying dyadic powers of comes a chain of decreasing subspaces. These subspaces are the scaling function approximation subspaces, and the differences in the subspace chain are the wavelet subspaces.Diffusion wavelets were first introduced in 2004 by Ronald Coifman and Mauro Maggioni at Yale University.".
- Diffusion_wavelets wikiPageExternalLink dwt.html.
- Diffusion_wavelets wikiPageExternalLink code.html.
- Diffusion_wavelets wikiPageID "34073955".
- Diffusion_wavelets wikiPageRevisionID "591008958".
- Diffusion_wavelets hasPhotoCollection Diffusion_wavelets.
- Diffusion_wavelets subject Category:Wavelets.
- Diffusion_wavelets type Abstraction100002137.
- Diffusion_wavelets type Event100029378.
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- Diffusion_wavelets type PsychologicalFeature100023100.
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- Diffusion_wavelets type Wave107352190.
- Diffusion_wavelets type Wavelets.
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- Diffusion_wavelets comment "Diffusion wavelets are a fast multiscale framework for the analysis of functions on discrete (or discretized continuous) structures like graphs, manifolds, and point clouds in Euclidean space. Diffusion wavelets are an extension of classical wavelet theory from harmonic analysis. Unlike classical wavelets whose basis functions are predetermined, diffusion wavelets are adapted to the geometry of a given diffusion operator (e.g., a heat kernel or a random walk).".
- Diffusion_wavelets label "Diffusion wavelets".
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- Diffusion_wavelets sameAs Q5275444.
- Diffusion_wavelets sameAs Q5275444.
- Diffusion_wavelets sameAs Diffusion_wavelets.
- Diffusion_wavelets wasDerivedFrom Diffusion_wavelets?oldid=591008958.
- Diffusion_wavelets isPrimaryTopicOf Diffusion_wavelets.