Results 141 to 150 of about 256 (167)

EXTENDED RIDGELET TRANSFORM ON DISTRIBUTIONS AND BOEHMIANS

Asian-European Journal of Mathematics, 2011
The ridgelet transform is extended to the space of Schwartz distributions and to the space of C∞-Boehmians consistent with the classical Ridgelet transform on the space of square integrable Boehmians. The properties of the ridgelet transform like linearity, injectivity, surjectivity and continuity with respect to two notions of convergence are ...
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Image denoising based on ridgelet

6th International Conference on Signal Processing, 2002., 2002
Image denoising is an important step in the pre-processing of images; the noisy images bears different characteristics. For an anisotropic image, wavelets lose their effects on singularity detection because discontinuities across edges are spatially distributed.
null Hou Biao, null Jiao Li-cheng, null Liu Fang   +2 more
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Fingerprint Compression by Ridgelet Transform

2008 IEEE International Symposium on Signal Processing and Information Technology, 2008
In the present paper, a concept of compression using block ridgelet transform is introduced. This kind of analysis/synthesis fingerprint representation takes the form of basis elements which exhibit very high directional sensitivity and are highly anisotropic.
Abdelhak Ouanane, Amina Serir
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A Novel Ridgelet Kernel Regression Method

2005
In this paper, a ridgelet kernel regression model is proposed for approximation of multivariate functions, especially those with certain kinds of spatial inhomogeneities. It is based on ridgelet theory, kernel and regularization technology from which we can deduce a regularized kernel regression form.
Shuyuan Yang 0001, Min Wang 0007, Licheng Jiao, Qing Li 0065   +3 more
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On the Combination of Ridgelets Descriptors for Symbol Recognition

2008
In this paper we propose an original solution to combine the scales of multi-resolution shape descriptors. More precisely, a classifier fusion scheme is applied to a set of shape descriptors obtained from the ridgelets transform. The Ridgelets coefficients are grouped into different descriptors according to their resolution.
Oriol Ramos Terrades, Ernest Valveny, Salvatore Tabbone   +2 more
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Research on intelligent prediction of hydrogen pipeline leakage fire based on Finite Ridgelet neural network

International Journal of Hydrogen Energy, 2022
Diankui Gao, Lizhi Xu
exaly  

Ridgelets Frame

2004
Tan Shan, Licheng Jiao, Xiangchu Feng
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Digital Implementation of Ridgelet Packets

2003
Abstract The Ridgelet Packets library provides a large family of orthonormal bases for functions f ( x,y ) in L 2 ( dxdy ) which includes orthonormal ridgelets as well as bases deriving from tilings reminiscent from the theory of wavelets and the study of oscillatory Fourier integrals.
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ridgelet, n.

2023
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Ridgelet moment invariants for robust pattern recognition

Pattern Analysis and Applications, 2021
Guangyi Chen, Changjun Li
exaly