11 citations · 15 across the 10 of their papers we have counts for
8 papers · 1 filter
Multidimensional Variational Line Spectra Estimation
Qi Zhang, Jiang Zhu, Ning Zhang +1
The fundamental multidimensional line spectral estimation problem is addressed utilizing the Bayesian methods. Motivated by the recently proposed variational line spectral estimati…
Grid-less Variational Direction of Arrival Estimation in Heteroscedastic Noise Environment
Qi Zhang, Jiang Zhu, Yuantao Gu +1
Horizontal line arrays are often employed in underwater environments to estimate the direction of arrival (DOA) of a weak signal. Conventional beamforming (CB) is robust but has wi…
Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning
Jiang Zhu, Zhennan Liu, Qi Zhang +2
The recovery of a low rank matrix from a subset of noisy low-precision quantized samples arises in several applications such as collaborative filtering, intelligent recommendation…
Expectation Propagation based Line Spectral Estimation
Jiang Zhu, Xupeng Lei, Mihai Alin-Badiu +1
The fundamental problem of line spectral estimation (LSE) using the expectation propagation (EP) method is studied. Previous approaches estimate the model order sequentially, limit…
Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs
Jiang Zhu, Chao-kai Wen, Jun Tong +2
Employing low-resolution analog-to-digital converters (ADCs) coupled with large antenna arrays at the receivers has drawn considerable interests in the millimeter wave (mm-wave) sy…
Gridless Multisnapshot Variational Line Spectral Estimation from Coarsely Quantized Samples
Ning Zhang, Jiang Zhu, Zhiwei Xu
Due to the increasing demand for low power and higher sampling rates, low resolution quantization for data acquisition has drawn great attention recently. Consequently, line spectr…