18 citations · 18 across the 9 of their papers we have counts for
11 papers
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…
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…
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…
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography
Silin Gao, Wenlong Wang, Muhan Wang +5
Synthetic aperture radar (SAR) tomography (TomoSAR) retrieves three-dimensional (3-D) information from multiple SAR images, effectively addresses the layover problem, and has becom…
Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation
Xunmeng Wu, Zai Yang, Zongben Xu
We study the problem of estimating the frequencies of several complex sinusoids with constant amplitude (CA) (also called constant modulus) from multichannel signals of their super…
Direction-of-Arrival Estimation for Constant Modulus Signals Using a Structured Matrix Recovery Technique
Xunmeng Wu, Zai Yang, Zhiqiang Wei +1
This paper addresses the problem of direction-of-arrival (DOA) estimation for constant modulus (CM) source signals using a uniform or sparse linear array. Existing methods typicall…
Multichannel Frequency Estimation in Challenging Scenarios via Structured Matrix Embedding and Recovery (StruMER)
Xunmeng Wu, Zai Yang, Zongben Xu
Multichannel frequency estimation with incomplete data and miscellaneous noises arises in array signal processing, modal analysis, wireless communications, and so on. In this paper…