977 citations · 2k across the 26 of their papers we have counts for
19 papers · 1 filter
Information-Theoretic Limits of Bistatic Integrated Sensing and Communication
Tian Jiao, Kai Wan, Zhiqiang Wei +4
Bistatic sensing refers to scenarios where the transmitter (illuminating the target) and the sensing receiver (estimating the target state) are physically separated, in contrast to…
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…
On the Sample Complexity of Multichannel Frequency Estimation via Convex Optimization
Zai Yang, Jinhui Tang, Yonina C. Eldar +1
The use of multichannel data in line spectral estimation (or frequency estimation) is common for improving the estimation accuracy in array processing, structural health monitoring…
Sparse Methods for Direction-of-Arrival Estimation
Zai Yang, Jian Li, Petre Stoica +1
Direction-of-arrival (DOA) estimation refers to the process of retrieving the direction information of several electromagnetic waves/sources from the outputs of a number of receivi…
Frequency-Selective Vandermonde Decomposition of Toeplitz Matrices with Applications
Zai Yang, Lihua Xie
The classical result of Vandermonde decomposition of positive semidefinite Toeplitz matrices, which dates back to the early twentieth century, forms the basis of modern subspace an…