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   Articles with "minimax concave" as a keyword



A SAR imaging method based on generalized minimax-concave penalty

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recommendations! Published in 2018 at "Science China Information Sciences"

DOI: 10.1007/s11432-018-9464-4

Abstract: Dear editor, Sparse signal processing offers a framework for synthetic aperture radar (SAR) imaging [1, 2]. As an efficient tool in sparse signal processing, L1 minimization is often used in the reconstruction of SAR images.… read more here.

Keywords: minimax concave; sar imaging; minimization; penalty ... See more keywords

Sparse Topology Estimation for Consensus Network Systems via Minimax Concave Penalty

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recommendations! Published in 2024 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2024.3407630

Abstract: This letter proposes an optimization method to estimate the network topology in continuous-time consensus systems. Assuming the network topology is non-negative weighted and undirected, we formulate an optimization problem based on the sparse maximum likelihood… read more here.

Keywords: consensus; minimax concave; concave penalty; estimation ... See more keywords

Minimax Concave Penalty Regression for Superresolution Image Reconstruction

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recommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2023.3300734

Abstract: Fast and robust superresolution image reconstruction techniques can be beneficial in improving the safety and reliability of various consumer electronics applications. The least absolute shrinkage and selection operator (LASSO) penalty is widely used in sparse… read more here.

Keywords: superresolution; minimax concave; image reconstruction; reconstruction ... See more keywords

Acoustic Mode Measuring Approach Developed on Generalized Minimax-Concave Regularization and Tikhonov Regularization

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recommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2021.3133312

Abstract: Investigations on the acoustic modes generated by the ducted fan can provide indispensable guidance for active control of the aero-engine noise. To achieve this, the circumferential pressure of the duct needs to be measured. However,… read more here.

Keywords: regularization; tikhonov regularization; approach developed; approach ... See more keywords

Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss

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recommendations! Published in 2024 at "IEEE Transactions on Signal and Information Processing over Networks"

DOI: 10.1109/tsipn.2024.3451992

Abstract: This paper presents a mathematically rigorous framework of remarkably-robust signal recovery over networks. The proposed framework is based on the minimax concave (MC) loss, which is a weakly convex function so that it attains i)… read more here.

Keywords: signal recovery; minimax concave; recovery networks; concave loss ... See more keywords