Results 31 to 40 of about 3,427 (187)

Signal Restoration Combining Modified Tikhonov Regularization and Preconditioning Technology

open access: yesIEEE Access, 2017
The purpose of signal restoration is to acquire a clean signal from the degraded signal which contains blur and noise. In this paper, a modified Tikhonov regularization method based on the standard Tikhonov regularization matrix is proposed, and the ...
Hong-Xia Dou   +3 more
doaj   +1 more source

Prediction of propagated wave profiles based on point measurement

open access: yesInternational Journal of Naval Architecture and Ocean Engineering, 2014
This study presents the prediction of propagated wave profiles using the wave information at a fixed point. The fixed points can be fixed in either space or time.
Lee Sang-Beom   +3 more
doaj   +3 more sources

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

Extrapolation of Tikhonov and Lavrentiev regularization methods

open access: yesJournal of Physics: Conference Series, 2008
We consider solution of linear ill-posed problem Au = f by Tikhonov method and by Lavrentiev method. For increasing the qualification and accuracy of these methods we use extrapolation, taking for the approximate solution linear combination of n ≥ 2 approximations of Tikhonov or Lavrentiev methods with different parameters and with proper coefficients.
Uno Hämarik, Reimo Palm, Toomas Raus
openaire   +1 more source

A GCV based Arnoldi-Tikhonov regularization method [PDF]

open access: yesBIT Numerical Mathematics, 2013
For the solution of linear discrete ill-posed problems, in this paper we consider the Arnoldi-Tikhonov method coupled with the Generalized Cross Validation for the computation of the regularization parameter at each iteration. We study the convergence behavior of the Arnoldi method and its properties for the approximation of the (generalized) singular ...
NOVATI, PAOLO, Russo, Maria Rosaria
openaire   +3 more sources

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

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

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

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