18 citations · 18 across the 9 of their papers we have counts for
5 papers · 1 filter
Superfast Spectral Compressed Sensing with Quadratic Convergence
Xunmeng Wu, Jian-Feng Cai, Zongben Xu +1
In this paper, we study the spectral compressed sensing problem of recovering a spectrally sparse signal from linear compressive measurements. Exploiting the low-rank Hankel struct…
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…
Deterministic Cramer-Rao Bounds for Coherent Direction-of-Arrival Estimation: Rank Information Versus Coherence Structure
Weichao Zheng, Zai Yang
Direction-of-arrival (DOA) estimation is a fundamental problem in array signal processing, for which the Cramer-Rao bound (CRB) serves as a standard performance benchmark under bot…
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…
Positivity of a Hadamard Product
Roger A. Horn, Shengxuan Luo, Hongwei Xu +1
A notable difference between the ordinary and Hadamard products is that the Hadamard product of two singular positive semidefinite matrices can be nonsingular, and one of the facto…