30 resultados para Dunkl-Bessel Transform
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Mathematics Subject Classification: Primary 35R10, Secondary 44A15
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Mathematics Subject Classification: 42B10
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2000 Mathematics Subject Classification: 44A15, 44A35, 46E30
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2000 Mathematics Subject Classification: Primary 46F12, Secondary 44A15, 44A35
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Mathematics Subject Classification: 44A15, 33D15, 81Q99
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Mathematics Subject Class.: 33C10,33D60,26D15,33D05,33D15,33D90
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Mathematics Subject Classification: Primary 33E20, 44A10; Secondary 33C10, 33C20, 44A20
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MSC 2010: 35R11, 44A10, 44A20, 26A33, 33C45
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The fractional Fourier transform (FrFT) is used for the solution of the diffraction integral in optics. A scanning approach is proposed for finding the optimal FrFT order. In this way, the process of diffraction computing is speeded up. The basic algorithm and the intermediate results at each stage are demonstrated.
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We study the continuity of pseudo-differential operators on Bessel potential spaces Hs|p (Rn ), and on the corresponding Besov spaces B^(s,q)p (R ^n). The modulus of continuity ω we use is assumed to satisfy j≥0, ∑ [ω(2−j )Ω(2j )]2 < ∞ where Ω is a suitable positive function.
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We extend our previous work into error-free representations of transform basis functions by presenting a novel error-free encoding scheme for the fast implementation of a Linzer-Feig Fast Cosine Transform (FCT) and its inverse. We discuss an 8x8 L-F scaled Discrete Cosine Transform where the architecture uses a new algebraic integer quantization of the 1-D radix-8 DCT that allows the separable computation of a 2-D DCT without any intermediate number representation conversions. The resulting architecture is very regular and reduces latency by 50% compared to a previous error-free design, with virtually the same hardware cost.
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The paper deals with the generalisations of the Hough Transform making it the mean for analysing uncertainty. Some results related Hough Transform for Euclidean spaces are represented. These latter use the powerful means of the Generalised Inverse for description the Transform by itself as well as its Accumulator Function.
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2000 Mathematics Subject Classification: 26A33 (main), 44A40, 44A35, 33E30, 45J05, 45D05
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We characterize the range of some spaces of functions by the Fourier transform associated with the spherical mean operator R and we give a new description of the Schwartz spaces. Next, we prove a Paley-Wiener and a Paley-Wiener-Schawrtz theorems.
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2000 Mathematics Subject Classification: 33C10, 33-02, 60K25