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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…
math.OC2026
A Regularized Newton-Type Method for Manifold--Affine Intersection Problems under Intrinsic Transversality
Dengyu Zheng, Shixiang Chen
We propose Regularized Newton-SLRA (RN-SLRA), a regularized Newton-type method for local manifold--affine intersection problems motivated by structured low-rank approximation. Clas…