Estimation of q for ℓ q $\ell _{q}$ -minimization in signal recovery with tight frame
Abstract This study aims to reconstruct signals that are sparse with a tight frame from undersampled data by using the ℓ q $\ell _{q}$ -minimization method. This problem can be cast as a ℓ q $\ell _{q}$ -minimization problem with a tight frame subjected to an undersampled measurement with a known no...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-12-01
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Series: | Journal of Inequalities and Applications |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13660-023-03068-z |