Classification of linear and non-linear modulations using the Baum-Welch algorithm and MCMC methods
type: Item
instance of: scholarly article
title: Classification of linear and non-linear modulations using the Baum-Welch algorithm and MCMC methods
zbMATH Open document ID: 1197.94110
author: Anchalee Puengnim
author: Nathalie Thomas
author: Jean-Yves Tourneret
author: Josep Vidal
published in: Signal Processing
publication date: 2010-09-27T00:00:00Z
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 5791930
zbMATH Keywords: digital modulation classification
zbMATH Keywords: linear and non-linear modulations
zbMATH Keywords: Bayesian classifiers
zbMATH Keywords: Markov chain Monte Carlo methods
zbMATH Keywords: Baum-Welch algorithm
MaRDI profile type: Publication
full work available at URL: j.sigpro.2010.05.030
OpenAlex ID: W2068600007
cites work: Signal classification using statistical moments
cites work: Channel identification for high speed digital communications
cites work: Q3394766
cites work: Q4828566
cites work: Q4865933
cites work: On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure
DOI: 10.1016/J.SIGPRO.2010.05.030
description: scientific article; zbMATH DE number 5791930