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math.OC2026
Lifted Restricted Isometry Property and Fast Algorithm for Spectral Compressed Sensing With Near-Optimal Sample Complexity
Xunmeng Wu, Jian-Feng Cai, Zongben Xu +1
This paper studies the spectral compressed sensing problem, which aims to recover an -spectrally-sparse signal of length from linear compressive measurements. We reformulate…
math.OC2026
Jointly Sparse Blind Deconvolution via Riemannian Optimization
Wenlong Wang, Baiyang Guo, Zai Yang +2
Blind deconvolution has been widely applied in system identification and signal processing. While joint sparsity commonly arises in practical scenarios, effectively exploiting this…