19 citations · 43 across the 4 of their papers we have counts for
4 papers
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…
Topology Discovery for Linear Wireless Networks with Application to Train Backbone Inauguration
Yu Liu, Jianghua Feng, Osvaldo Simeone +4
A train backbone network consists of a sequence of nodes arranged in a linear topology. A key step that enables communication in such a network is that of topology discovery, or tr…
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…
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…