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Peng Zhang

4 papers hereh-index 682 citations10 works total

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

author position
  • first author4

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

fields
  • cs.IT4
same name
  • Peng Zhang — 74 papers, h 24
  • Peng Zhang — 35 papers, h 13
  • Peng Zhang — 31 papers, h 37
  • Peng Zhang — 22 papers, h 18
  • Peng Zhang — 21 papers, h 7
  • Peng Zhang — 18 papers, h 13

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
20132017
most citedModulated Unit-Norm Tight Frames for Compressed Sensing

12 citations · 25 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IT2017

Atomic Norm Denoising-Based Joint Channel Estimation and Faulty Antenna Detection for Massive MIMO

Peng Zhang, Lu Gan, Cong Ling +1

We consider joint channel estimation and faulty antenna detection for massive multiple-input multiple-output (MIMO) systems operating in time-division duplexing (TDD) mode. For sys…

cs.IT2017★ 12 cited

Uniform Recovery Bounds for Structured Random Matrices in Corrupted Compressed Sensing

Peng Zhang, Lu Gan, Cong Ling +1

We study the problem of recovering an s-sparse signal x⋆∈Cn from corrupted measurements $\mathbf{y} = \mathbf{A}\mathbf{x}^{\star}+\mathbf{z}^{\star…

cs.IT2014★ 12 cited

Modulated Unit-Norm Tight Frames for Compressed Sensing

Peng Zhang, Lu Gan, Sumei Sun +1

In this paper, we propose a compressed sensing (CS) framework that consists of three parts: a unit-norm tight frame (UTF), a random diagonal matrix and a column-wise orthonormal ma…

cs.IT2013★ 1 cited

Deterministic Sequences for Compressive MIMO Channel Estimation

Peng Zhang, Lu Gan, Sumei Sun +1

This paper considers the problem of pilot design for compressive multiple-input multiple-output (MIMO) channel estimation. In particular, we are interested in estimating the channe…

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