We define and study the ridgelet transform of (Lizorkin) distributions. We establish connections with the Radon and wavelet transforms
AbstractWe develop a convolution–backprojection method for the k-plane Radon transform f→f̂, f∈Lp(R)...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
11 p.International audienceA method based on the wavelet transform is used to localize the causative...
We define and study the ridgelet transform of (Lizorkin) distributions. We establish connections wit...
summary:We prove that ridgelet transform $R:\mathscr{S}(\mathbb{R}^2)\to \mathscr{S} (\mathbb{Y})$ a...
We characterize the quasiasymptotic behavior of distributions in terms of a Tauberian theorem for ri...
Orthonormal ridgelets provide an orthonormal basis for L 2 (R 2) built from special angularly-integr...
Abstract. We study a notion of ridgelet transform for arrays of digital data in which the analysis o...
AbstractOrthonormal ridgelets provide an orthonormal basis for L2(R2) built from special angularly-i...
The first contribution of this thesis is a new approach based on the theory of group representations...
In the last two decades plenty of research has been carried out in the field of Wavelet theory and i...
The ridgelet transform (Candès and Donoho, 1999) was introduced as a sparse expansion for functions ...
Let Mn, m be the space of real n × m matrices which can be identified with the Euclidean space Rn m....
We first revisit the spherical Radon transform, also called the Funk-Radon transform, viewing it as ...
Abstract. The Ridgelet Packets library provides a large family of orthonormal bases for functions f(...
AbstractWe develop a convolution–backprojection method for the k-plane Radon transform f→f̂, f∈Lp(R)...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
11 p.International audienceA method based on the wavelet transform is used to localize the causative...
We define and study the ridgelet transform of (Lizorkin) distributions. We establish connections wit...
summary:We prove that ridgelet transform $R:\mathscr{S}(\mathbb{R}^2)\to \mathscr{S} (\mathbb{Y})$ a...
We characterize the quasiasymptotic behavior of distributions in terms of a Tauberian theorem for ri...
Orthonormal ridgelets provide an orthonormal basis for L 2 (R 2) built from special angularly-integr...
Abstract. We study a notion of ridgelet transform for arrays of digital data in which the analysis o...
AbstractOrthonormal ridgelets provide an orthonormal basis for L2(R2) built from special angularly-i...
The first contribution of this thesis is a new approach based on the theory of group representations...
In the last two decades plenty of research has been carried out in the field of Wavelet theory and i...
The ridgelet transform (Candès and Donoho, 1999) was introduced as a sparse expansion for functions ...
Let Mn, m be the space of real n × m matrices which can be identified with the Euclidean space Rn m....
We first revisit the spherical Radon transform, also called the Funk-Radon transform, viewing it as ...
Abstract. The Ridgelet Packets library provides a large family of orthonormal bases for functions f(...
AbstractWe develop a convolution–backprojection method for the k-plane Radon transform f→f̂, f∈Lp(R)...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
11 p.International audienceA method based on the wavelet transform is used to localize the causative...
DOI
Add to ORKG