Results 51 to 60 of about 208,745 (278)
Node-Adaptive Regularization for Graph Signal Reconstruction
IEEE 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
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Nuclear Fusion, 2023 Precise control of plasma shape parameters, such as elongation and triangularity is duly needed to achieve high-performance tokamak plasmas, for which we propose adaptive search schemes of (1) optimum regularization parameter for the Tikhonov ...
S. Inoue +4 more
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Some matrix nearness problems suggested by Tikhonov regularization
, 2016 The numerical solution of linear discrete ill-posed problems typically requires regularization, i.e., replacement of the available ill-conditioned problem by a nearby better conditioned one.
Noschese, Silvia, Reichel, Lothar
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Tikhonov Regularization and Total Least Squares [PDF]
SIAM Journal on Matrix Analysis and Applications, 1999 The regularized total least squares (TLS) method of the TLS problem is introduced and its regularizing properties are studied. It is also proved that, in certain cases, the new method is superior to standard regularization methods.
Golub, Gene H. +2 more
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e-Prime: Advances in Electrical Engineering, Electronics and EnergyIn this article the Tikhonov method used as a regularization technique for solving the inverse problem liner operator equation of the first kind with noisy and noise-free data. We also provide the Tikhonov method's essential analysis for tackling inverse
H.K. Al-Mahdawi, A.S. Alhumaima
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Signal Restoration Combining Modified Tikhonov Regularization and Preconditioning Technology
IEEE 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
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A modified Tikhonov regularization for unknown source in space fractional diffusion equation
Open Mathematics, 2022 In this article, we consider the identification of an unknown steady source in a class of fractional diffusion equations. A modified Tikhonov regularization method based on Hermite expansion is presented to deal with the ill-posedness of the problem.
Yu Kai, Gong Benxue, Zhao Zhenyu
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Convex regularization of discrete-valued inverse problems
, 2017 This work is concerned with linear inverse problems where a distributed parameter is known a priori to only take on values from a given discrete set.
Clason, Christian, Do, Thi Bich Tram
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Prediction of propagated wave profiles based on point measurement
International 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
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Tikhonov Regularization with a Solution Constraint [PDF]
SIAM Journal on Scientific Computing, 2004 The authors consider a constrained minimization regularization formulation of a given, ill-conditioned linear system, which is equivalent with the classical Tikhonov one. This new problem is solved by a modified version of an algorithm previously proposed by \textit{G. H. Golub} and \textit{U. von Matt} [Numer. Math. 59, No.~6, 561--580 (1991; Zbl 0745.
Calvetti, Daniela, Reichel, Lothar
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