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The fast Fourier transform and fast wavelet transform for patterns on the torus

机译:快速傅立叶变换和小波快速变换

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We introduce a fast Fourier transform on regular d-dimensional lattices. We investigate properties of congruence class representants, i.e. their ordering, to classify directions and derive a Cooley-Tukey algorithm. Despite the fast Fourier techniques itself, there is also the advantage of this transform to be parallelized efficiently, yielding faster versions than the one-dimensional Fourier transform. These properties of the lattice can further be used to perform a fast multivariate wavelet decomposition, where the wavelets are given as trigonometric polynomials. Furthermore the preferred directions of the decomposition itself can be characterized.
机译:我们介绍了对规则d维晶格的快速傅立叶变换。我们研究了一致性类代表的属性,即它们的排序,以对方向进行分类并导出Cooley-Tukey算法。尽管本身具有快速的傅立叶技术,但该变换的另一个优点是可以有效地并行化,比一维傅立叶变换产生更快的版本。晶格的这些属性可以进一步用于执行快速多元小波分解,其中将小波作为三角多项式给出。此外,可以表征分解本身的优选方向。

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