18 citations · 23 across the 7 of their papers we have counts for
9 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…
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…
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…
A Robust and Statistically Efficient Maximum-Likelihood Method for DOA Estimation Using Sparse Linear Arrays
Zai Yang, Xinyao Chen, Xunmeng Wu
A recent trend of research on direction-of-arrival (DOA) estimation is to localize more uncorrelated sources than sensors by using a proper sparse linear array (SLA) and the Toepli…
New Low Rank Optimization Model and Convex Approach for Robust Spectral Compressed Sensing
Zai Yang, Xunmeng Wu
This paper investigates recovery of an undamped spectrally sparse signal and its spectral components from a set of regularly spaced samples within the framework of spectral compres…
Robust spectral compressive sensing via vanilla gradient descent
Xunmeng Wu, Zai Yang, Zongben Xu
This paper investigates the recovery of a spectrally sparse signal from its partially revealed noisy entries within the framework of spectral compressive sensing. Nonconvex optimiz…