activity
20182024
most citedMultidimensional Variational Line Spectra Estimation

17 citations · 25 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2024

A Modulo Sampling Hardware Prototype and Reconstruction Algorithm Evaluation

Jiang Zhu, Junnan Ma, Zhenlong Liu +3

Analog-to-digital converters (ADCs) play a vital important role in any devices via manipulating analog signals in a digital manner. Given that the amplitude of the signal exceeds t…

cs.IT2024★ 2 cited

On the Identifiability from Modulo Measurements under DFT Sensing Matrix

Qi Zhang, Jiang Zhu, Fengzhong Qu +2

Modulo sampling (MS) has been recently introduced to enhance the dynamic range of conventional ADCs by applying a modulo operator before sampling. This paper examines the identifia…

eess.SP2023★ 1 cited

One-Bit-Aided Modulo Sampling for DOA Estimation

Qi Zhang, Jiang Zhu, Fengzhong Qu +1

Modulo sampling has recently drawn a great deal of attention for cutting-edge applications, due to overcoming the barrier of information loss through sensor saturation and clipping…

eess.SP2022★ 1 cited

Line Spectral Estimation via Unlimited Sampling

Qi Zhang, Jiang Zhu, Fengzhong Qu +1

Frequency Modulated Continuous Wave (FMCW) radar has been widely applied in automotive anti-collision systems, automatic cruise control, and indoor monitoring. However, conventiona…

cs.IT2019★ 17 cited

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…

eess.SP2019

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…

cs.IT2019★ 2 cited

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…

eess.SP2018

Gridless Line Spectral Estimation with Multiple Measurement Vector via Variational Bayesian Inference

Qi Zhang, Jiang Zhu, Peter Gerstoft +2

Line spectral estimation (LSE) from multi snapshot samples is studied utilizing the variational Bayesian methods. Motivated by the recently proposed variational line spectral estim…

cs.IT2018★ 2 cited

Grid-less Variational Bayesian Inference of Line Spectral from Quantized Samples

Jiang Zhu, Qi Zhang, Xiangming Meng

Efficient estimation of line spectral from quantized samples is of significant importance in information theory and signal processing, e.g., channel estimation in energy efficient…