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Jia Xu

5 papers hereh-index 243.2k citations163 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • cs.CV1
same name
  • Jia Xu — 10 papers, h 17
  • Jia Xu — 10 papers, h 4
  • Jia Xu — 8 papers, h 5
  • Jia Xu — 8 papers, h 14
  • Jia Xu — 7 papers, h 2
  • Jia Xu — 6 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102019
most citedSparse Support Recovery with Phase-Only Measurements

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2016

Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity

Jia Xu, Zu-Zhen Huang, Zhi-Rui Wang +3

In this paper, with respect to multichannel synthetic aperture radars (SAR), we first formulate the problems of Doppler ambiguities on the radial velocity (RV) estimation of a grou…

cs.IT2010

Anti-measurement Matrix Uncertainty Sparse Signal Recovery for Compressive Sensing

Yipeng Liu, Qun Wan, Fei Wen +2

Compressive sensing (CS) is a technique for estimating a sparse signal from the random measurements and the measurement matrix. Traditional sparse signal recovery methods have seri…

cs.IT2010

Minimum Variance Multi-Frequency Distortionless Restriction for Digital Wideband Beamformer

Yipeng Liu, Jia Xu, Qun Wan +1

This paper proposes a digital amplitude-phase weighting array based a minimum variance multi-frequency distortionless restriction (MVMFDR) to aviod the frequency band signal distor…

cs.IT2010★ 1 cited

Sparse Support Recovery with Phase-Only Measurements

Yipeng Liu, Qun Wan, Fei Wen +2

Sparse support recovery (SSR) is an important part of the compressive sensing (CS). Most of the current SSR methods are with the full information measurements. But in practice the…

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