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20182022
most citedMultidimensional Variational Line Spectra Estimation

17 citations · 30 across the 16 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

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…

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…