4 papers
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…
TCDA: Robust 2D-DOA Estimation for Defective L-Shaped Arrays
Wenlong Wang, Tianyang Zhang, Tailun Dong +1
While tensor-based methods excel at Direction-of-Arrival (DOA) estimation, their performance degrades severely with faulty or sparse arrays that violate the required manifold struc…
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…
Pursuing the limit of chirp parameter identifiability: A computational approach
Zai Yang, Sikai Ge, Wenlong Wang
In this paper, it is shown that a necessary condition for unique identifiability of chirps from regularly spaced samples of their mixture is when . A ne…