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20132023
most citedA Unified Bayesian Inference Framework for Generalized Linear Models

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

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12 papers · 1 filter

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…

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…

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…

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…

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…

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…

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…