◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jun Liu

4 papers hereh-index 6207 citations9 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • eess.SP4
same name
  • Jun Liu — 89 papers, h 101
  • Jun Liu — 24 papers, h 8
  • Jun Liu — 21 papers, h 5
  • Jun Liu — 20 papers, h 11
  • Jun Liu — 15 papers, h 7
  • Jun Liu — 15 papers, h 8

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
20182023
most citedPerformance Analysis on Machine Learning-Based Channel Estimation

50 citations · 55 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2023

Optimal Mixed-ADC arrangement for DOA Estimation via CRB using ULA

Xinnan Zhang, Yuanbo Cheng, Xiaolei Shang +1

We consider a mixed analog-to-digital converter (ADC) based architecture for direction of arrival (DOA) estimation using a uniform linear array (ULA). We derive the Cram{é}r-Rao bo…

eess.SP2020★ 5 cited

Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach

Jun Liu, Kai Mei, Xiaochen Zhang +4

Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is a key technology component in the evolution towards cognitive radio (CR) in next-generation…

eess.SP2019★ 50 cited

Performance Analysis on Machine Learning-Based Channel Estimation

Kai Mei, Jun Liu, Xiaochen Zhang +2

Recently, machine learning-based channel estimation has attracted much attention. The performance of machine learning-based estimation has been validated by simulation experiments.…

eess.SP2018

Deep Neural Network Aided Scenario Identification in Wireless Multi-path Fading Channels

Jun Liu, Kai Mei, Dongtang Ma +1

This letter illustrates our preliminary works in deep nerual network (DNN) for wireless communication scenario identification in wireless multi-path fading channels. In this letter…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.