Results 31 to 40 of about 3,866 (190)
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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Wasserstein Diffusion Tikhonov Regularization
CoRR, 2019 We propose regularization strategies for learning discriminative models that are robust to in-class variations of the input data. We use the Wasserstein-2 geometry to capture semantically meaningful neighborhoods in the space of images, and define a corresponding input-dependent additive noise data augmentation model.
Alex Tong Lin +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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A modified Tikhonov regularization method
Journal of Computational and Applied Mathematics, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiao-Juan Yang, Li Wang
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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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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 Fast Iterative Shrinkage/Thresholding Algorithm via Laplace Norm for Sound Source Identification
IEEE Access, 2020 As a powerful tool, near-field acoustical holography (NAH) recognizes the sound source effectively. The traditional equivalent source method (ESM) calculated by the Tikhonov regularization method could be available in the low-frequency band.
Linsen Huang +4 more
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DISCRETIZATION ERROR ANALYSIS FOR TIKHONOV REGULARIZATION [PDF]
Analysis and Applications, 2006 We study the discretization of inverse problems defined by a Carleman operator. In particular, we develop a discretization strategy for this class of inverse problems and we give a convergence analysis. Learning from examples, as well as the discretization of integral equations, can be analyzed in our setting.
DE VITO, ERNESTO +2 more
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