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U.S. Army Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance Center

United States

3 papers here27 citations across 3
fields
  • cs.IT1
  • physics.ins-det1
  • physics.optics1
ROR 02h7kd997OpenAlex

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most citedModulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network

19 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • A. Hendrickson2 · h 5
  • David P. Haefner2 · h 12
  • A. Haimovich1 · h 47
  • Bradley L. Preece1 · h 6
  • E. Fossum1 · h 40
  • Nicholas R. Shade1 · h 3
  • O. Simeone1 · h 60
  • Wei Su1 · h 28
  • Yu Liu1 · h 5
collaborating institutions
  • United States ArmyUS2 papers
  • United States Department of the NavyUS2 papers
  • United States NavyUS2 papers
  • Dartmouth CollegeUS1 paper
  • New Jersey Institute of TechnologyUS1 paper
  • United States Army Combat Capabilities Development CommandUS1 paper
  • United States Department of the ArmyUS1 paper
Showing cs.ITShow all

1 paper · 1 filter

cs.IT2014★ 19 cited

Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network

Yu Liu, Osvaldo Simeone, Alexander M. Haimovich +1

A novel Bayesian modulation classification scheme is proposed for a single-antenna system over frequency-selective fading channels. The method is based on Gibbs sampling as applied…

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