The ridgelet transform and quasiasymptotic behavior of distributions [PDF]
, 2015 We characterize the quasiasymptotic behavior of distributions in terms of a Tauberian theorem for ridgelet transforms.Comment: 13 ...
Kostadinova, Sanja +3 more
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Image denoising method integrating ridgelet transform and improved wavelet threshold. [PDF]
PLoS ONEIn the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Bingbing Li, Yao Cong, Hongwei Mo
doaj +2 more sources
Using a dynamic arithmetic optimization approach to improve ridgelet neural network performance in remote sensing scene classification [PDF]
Scientific ReportsThis research proposes an innovative methodology for acurate remore sensing scene classification. Here, a new design of dynamic arithmetic optimization algorithm (DAOA) has been proposed to enhance the performance of a Ridgelet neural network (RNN) in ...
Hui Zhang +3 more
doaj +2 more sources
Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization [PDF]
Scientific ReportsConcrete frameworks require strong structural integrity to ensure their durability and performance. However, they are disposed to develop cracks, which can compromise their overall quality.
Yongqing Lin +3 more
doaj +2 more sources
Multivariable passive method for detection of islanding events in renewable energy based power grids
IET Renewable Power Generation, 2022 Penetration of distributed generation resources (DGR) in power grid is rapidly increasing to meet future energy demand efficiently. It helps in mitigating the problems of high carbon emission, green house effect, and increased cost of oil and natural ...
Nagendra Kumar Swarnkar +3 more
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Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm [PDF]
HeliyonThis paper proposes a new method for short-term electric load forecasting using a Ridgelet Neural Network (RNN) combined with a wavelet transform and optimized by a Self-Adapted (SA) Kho-Kho algorithm (SAKhoKho).
Yaoying Wang +3 more
doaj +2 more sources
Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation [PDF]
International Journal of Biomedical Imaging, 2011 The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI ...
Shadi AlZubi, Naveed Islam, Maysam Abbod
doaj +2 more sources
Applied and Computational Harmonic Analysis, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shan Tan
exaly +3 more sources
The finite ridgelet transform for image representation
IEEE Transactions on Image Processing, 2003 The ridgelet transform was introduced as a sparse expansion for functions on continuous spaces that are smooth away from discontinuities along lines. We propose an orthonormal version of the ridgelet transform for discrete and finite-size images. Our construction uses the finite Radon transform (FRAT) as a building block.
Martin Vetterli, Minh N Do
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The Ridgelet transform of distributions [PDF]
Integral Transforms and Special Functions, 2013 We define and study the ridgelet transform of (Lizorkin) distributions. We establish connections with the Radon and wavelet transforms.
Kostadinova, Sanja +3 more
openaire +3 more sources