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Revisiting sparse error correction: Model analysis and new algorithms

delete2025-10-04
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PRE
AI
G
Gang Li *
X
X. M. Li
W
Wu Angela Li
DOI:10.1016/j.sigpro.2025.110325delete
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Abstract

Abstract

En 中文
• An iff condition is derived for a sparse error correction system to be identifiable. • An iterative approach is proposed for enhancing sparse recovery accuracy. • A subgradient method is derived to improve computational efficiency. • Two highly robust algorithms are derived using the proposed iterative approach.

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
10.0K
Citations:
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The Chinese University of Hong Kong
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Rice University
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Zhejiang University of Science and Technology
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