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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3021479
Abstract: It is widely known that the classic total variation(TV) model has been proven to be very effective in preserving sharp edges. However, the TV model suffers from the staircase effects which produce blocking artifacts in…
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Keywords:
model;
non convex;
constrained minimization;
hybrid regularization ... See more keywords
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Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3386901
Abstract: With the development and maturity of compressed sensing theories, sparse signal processing has been widely applied to synthetic aperture radar (SAR) imaging. ${L}_{{1}}$ regularization, as an effective sparse reconstruction model, can enhance the sparsity of…
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Keywords:
hybrid regularization;
tex math;
regularization;
inline formula ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3064265
Abstract: To improve the retrieval result obtained from a pairwise dissimilarity, many variants of diffusion process have been applied in visual re-ranking. In the framework of diffusion process, various contextual similarities can be obtained by solving…
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Keywords:
fitting constraint;
diffusion process;
process;
hybrid regularization ... See more keywords
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Published in 2018 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2017.2731948
Abstract: Solving inverse scattering problems (ISPs) for targets with high contrasts and/or large dimensions suffer from severe ill-posedness and strong nonlinearity. Recently, a family of new integral equations (NIE) has been proposed to tackle such problems,…
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Keywords:
technique solving;
inverse scattering;
scattering problems;
regularization ... See more keywords
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Published in 2025 at "Quaestiones Mathematicae"
DOI: 10.2989/16073606.2025.2505506
Abstract: Abstract This paper considers an inverse problem to find the space-dependent source term and initial data simultaneously in a time-fractional diffusion equation. This inverse problem is usually ill-posed, that is, small errors in the measurement…
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Keywords:
hybrid regularization;
diffusion equation;
term initial;
fractional diffusion ... See more keywords