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Yibo Wu

15 papers hereh-index 9223 citations16 works total

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

author position
  • first author9
  • middle author6

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • eess.SP14
  • cs.IT1
same name
  • Yibo Wu — 1 paper
  • Yibo Wu — 1 paper, h 2
  • Yibo Wu — 1 paper, h 15
  • Yibo Wu — 1 paper, h 1
  • Yibo Wu — 1 paper, h 6

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
20192024
most citedBlind Channel Equalization Using Vector-Quantized Variational Autoencoders

3 citations · 5 across the 14 of their papers we have counts for

collaborators
Showing 2021 · eess.SPShow all

4 papers · 2 filters

eess.SP2021

Iterated Posterior Linearization PMB Filter for 5G SLAM

Yu Ge, Yibo Wu, Fan Jiang +5

5G millimeter wave (mmWave) signals have inherent geometric connections to the propagation channel and the propagation environment. Thus, they can be used to jointly localize the r…

eess.SP2021

Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning

Yibo Wu, Jinxiang Song, Christian Häger +3

We propose an over-the-air digital predistortion optimization algorithm using reinforcement learning. Based on a symbol-based criterion, the algorithm minimizes the errors between…

eess.SP2021

End-to-End Learning for Integrated Sensing and Communication

José Miguel Mateos-Ramos, Jinxiang Song, Yibo Wu +4

Integrated sensing and communication (ISAC) aims to unify radar and communication systems through a combination of joint hardware, joint waveforms, joint signal design, and joint s…

eess.SP2021

Low Complexity Joint Impairment Mitigation of I/Q Modulator and PA Using Neural Networks

Yibo Wu, Ulf Gustavsson, Alexandre Graell i Amat +1

Neural networks (NNs) for multiple hardware impairments mitigation of a realistic direct conversion transmitter are impractical due to high computational complexity. We propose two…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.