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20122016
most citedModulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network

19 citations · 42 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IT2016

Detection of Single vs Multiple Antenna Transmission Systems Using Pilot Data

Thakshila Wimalajeewa, Pramod K Varshney, Wei Su

In this paper, we consider the problem of classifying the transmission system when it is not known a priori whether the transmission is via a single antenna or multiple antennas. T…

cs.IT2015★ 13 cited

Modulation Classification for MIMO-OFDM Signals via Approximate Bayesian Inference

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

The problem of modulation classification for a multiple-antenna (MIMO) system employing orthogonal frequency division multiplexing (OFDM) is investigated under the assumption of un…

cs.OH2014★ 7 cited

Asynchronous Linear Modulation Classification with Multiple Sensors via Generalized EM Algorithm

O. Ozdemir, T. Wimalajeewa, B. Dulek +2

In this paper, we consider the problem of automatic modulation classification with multiple sensors in the presence of unknown time offset, phase offset and received signal amplitu…

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…

cs.IT2013★ 1 cited

Modulation Classification of MIMO-OFDM Signals by Independent Component Analysis and Support Vector Machines

Yu Liu, Alexander M. Haimovich, Wei Su +2

A modulation classification (MC) scheme based on Independent Component Analysis (ICA) in conjunction with either maximum likelihood (ML) or Support Vector Machines (SVM) is propose…

cs.IT2012★ 2 cited

Asymptotic Properties of Likelihood Based Linear Modulation Classification Systems

Onur Ozdemir, Pramod K. Varshney, Wei Su +1

The problem of linear modulation classification using likelihood based methods is considered. Asymptotic properties of most commonly used classifiers in the literature are derived.…