activity
20132023
most citedA Unified Bayesian Inference Framework for Generalized Linear Models

76 citations · 186 across the 27 of their papers we have counts for

collaborators

27 papers

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.SP2023

Line Spectrum Estimation and Detection with Few-bit ADCs: Theoretical Analysis and Generalized NOMP Algorithm

Jiang Zhu, Hansheng Zhang, Ning Zhang +2

As radar systems will be equipped with thousands of antenna elements and wide bandwidth, the associated costs and power consumption become exceedingly high, and a potential solutio…

cs.IT2022

CFAR based NOMP for Line Spectral Estimation and Detection

Menghuai Xu, Jiang Zhu, Jun Fang +2

The line spectrum estimation problem is considered in this paper. We propose a CFAR-based Newtonized OMP (NOMP-CFAR) method which can maintain a desired false alarm rate without th…

cs.IT2022

A Unitary Transform Based Generalized Approximate Message Passing

Jiang Zhu, Xiangming Meng, Xupeng Lei +1

We consider the problem of recovering an unknown signal from general nonlinear measurements obtained through a generalized linear model (GLM), i.e.,…

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.IT2021

Joint CFO, Gridless Channel Estimation and Data Detection for Underwater Acoustic OFDM Systems

Lei Wan, Jiang Zhu, En Cheng +1

In this paper, we propose an iterative receiver based on gridless variational Bayesian line spectra estimation (VALSE) named JCCD-VALSE that \emph{j}ointly estimates the \emph{c}ar…

eess.SP2021

Newtonalized Orthogonal Matching Pursuit for Linear Frequency Modulated Pulse Frequency Agile Radar

Jiang Zhu, Honghui Guo, Ning Zhang +2

The linear frequency modulated (LFM) frequency agile radar (FAR) can synthesize a wide signal bandwidth through coherent processing while keeping the bandwidth of each pulse narrow…

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…

cs.IT2019★ 3 cited

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…

eess.SP2019

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…

eess.SP2019

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…

eess.SP2019★ 3 cited

One-bit LFMCW Radar: Spectrum Analysis and Target Detection

Benzhou Jin, Jiang Zhu, Qihui Wu +2

One-bit radar, performing signal sampling and quantization by a one-bit ADC, is a promising technology for many civilian applications due to its low-cost and low-power consumptions…

eess.SP2019★ 11 cited

A comment on the "A unified Bayesian inference framework for generalized linear models"

Jiang Zhu

The recent work `A unified Bayesian inference framework for generalized linear models' \cite{meng1} shows that the GLM can be solved via iterating between the standard linear modul…

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…

cs.IT2018

Bilinear Adaptive Generalized Vector Approximate Message Passing

Xiangming Meng, Jiang Zhu

This paper considers the generalized bilinear recovery problem which aims to jointly recover the vector and the matrix from componentwise nonlinear measurem…

eess.SP2018★ 2 cited

Vector Approximate Message Passing Algorithm for Structured Perturbed Sensing Matrix

Jiang Zhu, Qi Zhang, Xiangming Meng +1

In this paper, we consider a general form of noisy compressive sensing (CS) where the sensing matrix is not precisely known. Such cases exist when there are imperfections or unknow…

cs.IT2018★ 3 cited

Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing

Jiang Zhu, Lin Han, Xiangming Meng +1

In this letter, a binary sparse Bayesian learning (BSBL) algorithm is proposed to slove the one-bit compressed sensing (CS) problem in both single measurement vector (SMV) and mult…

eess.SP2018

Asymptotically Optimal One-Bit Quantizer Design for Weak-signal Detection in Generalized Gaussian Noise and Lossy Binary Communication Channel

Guanyu Wang, Jiang Zhu, Zhiwei Xu

In this paper, quantizer design for weak-signal detection under arbitrary binary channel in generalized Gaussian noise is studied. Since the performances of the generalized likelih…

cs.IT2018

A Two-stage Approach to Estimate CFO and Channel with One-bit ADCs

Jiang Zhu, Hangting Cao, Zhiwei Xu

In this letter, we propose a two-stage approach to estimate the carrier frequency offset (CFO) and channel with one-bit analog-to-digital converters (ADCs). Firstly, a simple metri…

cs.IT2018★ 1 cited

Variational Bayesian Line Spectral Estimation with Multiple Measurement Vectors

Jiang Zhu, Qi Zhang, Peter Gerstoft +2

In this paper, the line spectral estimation (LSE) problem with multiple measurement vectors (MMVs) is studied utilizing the Bayesian methods. Motivated by the recently proposed var…

cs.IT2018

Multi-snapshot Newtonized Orthogonal Matching Pursuit for Line Spectrum Estimation with Multiple Measurement Vectors

Jiang Zhu, Lin Han, Rick S. Blum +1

In this paper, multi-snapshot Newtonized orthogonal matching pursuit (MNOMP) algorithm is proposed to deal with the line spectrum estimation with multiple measurement vectors (MMVs…