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In applied mathematical analysis, shearlets are a multiscale framework which allows efficient encoding of anisotropic features in multivariate problem classes. Originally, shearlets were introduced in 2006 for the analysis and sparse approximation of functions f ∈ L 2 ( R 2 ) {\displaystyle f\in L^{2}(\mathbb {R} ^{2})} . They are a natural extension of…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| edges in images | instance of | to accommodate the fact that multivariate functions are typically governed by anisotropic features | 0.80 | text |
| since wavelets | instance of | to accommodate the fact that multivariate functions are typically governed by anisotropic features | 0.80 | text |
| as isotropic objects | instance of | to accommodate the fact that multivariate functions are typically governed by anisotropic features | 0.80 | text |
| are not capable of capturing such phenomena.Shearlets are constructed by parabolic scaling | instance of | to accommodate the fact that multivariate functions are typically governed by anisotropic features | 0.80 | text |
| shearing | instance of | to accommodate the fact that multivariate functions are typically governed by anisotropic features | 0.80 | text |
| and translation applied to a few generating functions | instance of | to accommodate the fact that multivariate functions are typically governed by anisotropic features | 0.80 | text |
| Shearlet | related to Cone-adapted shearlets | One | 0.60 | section |
| Shearlet | related to Cone-adapted shearlets | This | 0.60 | section |
| Shearlet | related to Cone-adapted shearlets | Figure | 0.60 | section |
| Shearlet | related to Cone-adapted shearlets | Section | 0.60 | section |
| Shearlet | related to Cone-adapted shearlets | Examples | 0.60 | section |
| Shearlet | related to Cone-adapted shearlets | Fourier | 0.60 | section |
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