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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.OC2025
Quotient Manifold Optimization for Spectral Compressed Sensing
Wenlong Wang, Wen Huang, Zai Yang
Spectral compressed sensing involves reconstructing a spectral-sparse signal from a subset of uniformly spaced samples, with applications in radar imaging and wireless channel esti…
math.OC2024
Low-Complexity Algorithms for Multichannel Spectral Super-Resolution
Xunmeng Wu, Zai Yang, Zongben Xu
This paper studies the problem of multichannel spectral super-resolution with either constant amplitude (CA) or not. We propose two optimization problems based on low-rank Hankel-T…