Results 41 to 50 of about 21,724 (205)
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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Large-scale wave-front reconstruction for adaptive optics systems by use of a recursive filtering algorithm [PDF]
, 2005 We propose a new recursive filtering algorithm for wave-front reconstruction in a large-scale adaptive optics system. An embedding step is used in this recursive filtering algorithm to permit fast methods to be used for wave-front reconstruction on an ...
Britton, Matthew +2 more
core +1 more source
Near-Optimal Parameters for Tikhonov and Other Regularization Methods [PDF]
SIAM Journal on Scientific Computing, 2001 For overdetermined discrete ill-posed linear problems having coefficient matrix with full rank for which the discrete Picard condition is satisfied a heuristic for choosing the regularization parameter in Tikhonov regularization and Lavrentiev's simplified Tikhonov regularization is proposed.
openaire +2 more sources
Discrepancy Sets for Combined Least Squares Projection and Tikhonov Regularization
Mathematical 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
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IEEE 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
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Sylvester Tikhonov-regularization methods in image restoration
Journal of Computational and Applied Mathematics, 2007 The authors consider large-scale linear discrete ill posed problems where the right-hand side contains noise. In order to control the effect of the noise on the solution, regularization techniques such as Tikhonov are needed. In many applications the coefficient matrix is given as a Kronecker product of two matrices and then the Tikhonov regularization
Bouhamidi, A., Jbilou, K.
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Frontiers 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
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IEEE 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
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A stabilized algorithm for multi-dimensional numerical differentiation
Journal 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
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Advanced Materials Interfaces, EarlyView.An intentionally added, chemically formed LixAlSy coating stabilizes the lithium–electrolyte interface in solid‐state Li–S batteries. The layer suppresses side reactions, preserves smooth charge transfer, and improves ion transport from the start. This approach offers a practical route to more durable solid‐state batteries and a clearer understanding ...
Xinyi Wang +4 more
wiley +1 more source