Results 41 to 50 of about 564,243 (186)
Interpretable image deblurring with ISTA_inspired deep network (ISTA_Deblurnet)
Geocarto InternationalImage deblurring algorithms can be broadly categorized into iterative algorithms that solve mathematical models and deep learning algorithms. Iterative algorithms regularize sparsity, with prior knowledge typically set manually, leading to limited ...
Guoqiang Dong +3 more
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Mathematics, 2019 Two iterative algorithms are suggested for approximating a solution of the split common fixed point problem involved in pseudo-contractive operators without Lipschitz assumption.
Jinzuo Chen +2 more
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Sparse Solution of Underdetermined Linear Equations via Adaptively Iterative Thresholding [PDF]
, 2013 Finding the sparset solution of an underdetermined system of linear equations $y=Ax$ has attracted considerable attention in recent years. Among a large number of algorithms, iterative thresholding algorithms are recognized as one of the most efficient ...
Lin, Shaobo, Xu, Zongben, Zeng, Jinshan
core
, 2010 In this paper, we study the convergence behavior of distributed iterative algorithms with quantized message passing. We first introduce general iterative function evaluation algorithms for solving fixed point problems distributively.
Cui, Ying, Lau, Vincent K. N.
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Robust Localization Based on Mixed-Norm Minimization Criterion
IEEE Access, 2022 This paper presents robust positioning methods that use range measurements to estimate location parameters. The existing maximum correntropy criterion-based localization algorithm uses only the $l_{2}$ norm minimization.
Chee-Hyun Park, Joon-Hyuk Chang
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, 2018 In this paper, we address the inverse problem of fast, stable, and high-quality wavefront reconstruction from pyramid wavefront sensor data for Adaptive Optics systems on Extremely Large Telescopes.
Hutterer, Victoria +2 more
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On the IID Capacity-Achieving Input for Binding Channels With Multiple Ligand Receptors
IEEE Access, 2019 This paper studies the molecular communication system where the transmitter has limited productivity and the receiver employs ligand-binding receptors.
Jianfeng Sun, Hui Li
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Iterative thresholding algorithms
Applied and Computational Harmonic Analysis, 2008 The article provides a variational formulation for hard and firm thresholding. A related functional can be used to regularize linear inverse problems by sparsity constraints. It is shown that a damped hard or firm thresholded Landweber iteration converges to its minimizer.
Fornasier, Massimo, Rauhut, Holger
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Contributions to Elimination of Excitation Field Harmonics in Turbogenerators
Advances in Electrical and Computer Engineering, 2022 Turbogenerators driven by high-speed turbines are frequently used in electrical power generation. Power quality of a synchronous generator is directly associated with its excitation field harmonics.
ATALAY, A. K., KOCABAS, D. A.
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On the Absence of Spurious Eigenstates in an Iterative Algorithm Proposed By Waxman
, 2006 We discuss a remarkable property of an iterative algorithm for eigenvalue problems recently advanced by Waxman that constitutes a clear advantage over other iterative procedures.
A R Plastino +5 more
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