Results 41 to 50 of about 11,051,325 (215)
Numerical Methods for Ill-Posed, Linear Problems [PDF]
A means of assessing the effectiveness of methods used in the numerical solution of various linear ill-posed problems is outlined. Two methods: Tikhonov' s method of regularization and the quasireversibility method of Lattès and Lions are appraised from ...
Stevens, Thomas
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A Multipath Error Reduction Method for BDS Using Tikhonov Regularization with Parameter Optimization
Multipath error is an important factor restricting the relative positioning accuracy of the Beidou Navigation Satellite System (BDS). Because of the complexity of the reflection environment, the mathematical modeling of multipath errors is quite ...
Xinzhong Li +5 more
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Node-Adaptive Regularization for Graph Signal Reconstruction
A critical task in graph signal processing is to estimate the true signal from noisy observations over a subset of nodes, also known as the reconstruction problem.
Maosheng Yang +3 more
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Iterated fractional Tikhonov regularization [PDF]
Fractional Tikhonov regularization methods have been recently proposed to reduce the oversmoothing property of the Tikhonov regularization in standard form, in order to preserve the details of the approximated solution.
Buccini A. +12 more
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A stabilized algorithm for multi-dimensional numerical differentiation
We develop a multi-dimensional numerical differentiation method in this paper. To obtain stable numerical derivatives, the Tikhonov regularization method in Hilbert scales is proposed to deal with illposedness of the problem. The penalty term in Tikhonov
Zhenyu Zhao +4 more
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The electrocardiographic imaging (ECGI) inverse problem highly relies on adding constraints, a process called regularization, as the problem is ill-posed.
Judit Chamorro-Servent +9 more
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Early diagnosis of stroke type by imaging is one of the most important tasks for stroke patients. In this article, we propose a new approach to reconstruct the brain image with high accuracy and quality.
Sayyed Saleh Sayyed Mousavi +1 more
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Discrepancy Sets for Combined Least Squares Projection and Tikhonov Regularization
To solve a linear ill-posed problem, a combination of the finite dimensional least squares projection method and the Tikhonov regularization is considered. The dimension of the projection is treated as the second parameter of regularization.
Teresa Reginska
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Spatially Adaptive Tensor Total Variation-Tikhonov Model for Depth Image Super Resolution
Depth images play an important role in 3-D applications. However, due to the limitation of depth acquisition equipment, the acquired depth images are usually in limited resolution. In this paper, a spatially adaptive tensor total variation-Tikhonov model
Gang Zhong, Sen Xiang, Peng Zhou, Li Yu
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Ultrasound computed tomography (USCT) is a promising technique for breast imaging. It provides three modalities: echo image, sound speed image (SSI), and attenuation image.
Zisheng Yao +3 more
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