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Published in 2018 at "Inverse Problems"
DOI: 10.1088/1361-6420/aab246
Abstract: In an underdetermined linear system of equations, constrained l1 minimization methods such as the basis pursuit or the lasso are often used to recover one of the sparsest representations or approximations of the system. The…
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Keywords:
linear system;
sparsest representations;
basis pursuit;
underdetermined linear ... See more keywords
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Published in 2019 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2909142
Abstract: Neural networks have been generally deemed as important tools to handle kinds of online computing problems in recent decades, which have plenty of applications in science and electronics fields. This paper proposes a novel recurrent…
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Keywords:
time;
linear system;
bound;
time varying ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3182997
Abstract: This article addresses the problem of finding online solutions to time-varying underdetermined linear systems with limits on states and their derivatives through a novel zeroing neural network (ZNN) implementation. The proposed model combines zeroing dynamics…
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Keywords:
time;
underdetermined linear;
varying underdetermined;
time varying ... See more keywords
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Published in 2020 at "Computer Optics"
DOI: 10.18287/2412-6179-co-607
Abstract: The article presents a novel algorithm for calculating generalized normal solutions of underdetermined systems of linear algebraic equations based on special extended systems. The advantage of this method is the ability to solve very poorly…
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Keywords:
underdetermined linear;
solutions underdetermined;
calculating generalized;
generalized normal ... See more keywords