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- W2892018733 abstract "In this paper, we propose a new regularized robust estimation approach based on the robust $tau$ -estimator applied to linear ill-posed problems in the presence of noise outliers. Additionally, we introduce a new approach to obtain the optimal regularization parameter for the proposed robust estimator by using tools from random matrix theory. Simulation results demonstrate that the proposed approach with its automated regularization parameter selection outperforms a set of benchmark methods." @default.
- W2892018733 created "2018-09-27" @default.
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- W2892018733 date "2018-04-01" @default.
- W2892018733 modified "2023-09-25" @default.
- W2892018733 title "Robust Estimation in Linear ILL-Posed Problems with Adaptive Regularization Scheme" @default.
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- W2892018733 doi "https://doi.org/10.1109/icassp.2018.8462651" @default.
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