Results 41 to 50 of about 11,051,325 (215)

Numerical Methods for Ill-Posed, Linear Problems [PDF]

open access: yes, 1975
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
core   +1 more source

A Multipath Error Reduction Method for BDS Using Tikhonov Regularization with Parameter Optimization

open access: yesRemote Sensing, 2023
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
doaj   +1 more source

Node-Adaptive Regularization for Graph Signal Reconstruction

open access: yesIEEE Open Journal of Signal Processing, 2021
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
doaj   +1 more source

Iterated fractional Tikhonov regularization [PDF]

open access: yes, 2015
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
core   +1 more source

A stabilized algorithm for multi-dimensional numerical differentiation

open access: yesJournal of Algorithms & Computational Technology, 2016
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
doaj   +1 more source

Considering New Regularization Parameter-Choice Techniques for the Tikhonov Method to Improve the Accuracy of Electrocardiographic Imaging

open access: yesFrontiers in Physiology, 2019
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
doaj   +1 more source

A Quantitative Microwave Imaging Approach for Brain Stroke Classification Based on the Generalized Tikhonov Regularization

open access: yesIEEE Access, 2023
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
doaj   +1 more source

Discrepancy Sets for Combined Least Squares Projection and Tikhonov Regularization

open access: yesMathematical Modelling and Analysis, 2017
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
doaj   +1 more source

Spatially Adaptive Tensor Total Variation-Tikhonov Model for Depth Image Super Resolution

open access: yesIEEE Access, 2017
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
doaj   +1 more source

A Combined Regularization Method Using Prior Structural Information for Sound-Speed Image Reconstruction of Ultrasound Computed Tomography

open access: yesIEEE Access, 2020
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
doaj   +1 more source

Home - About - Disclaimer - Privacy