In that context, this paper studies two Bayesian classifiers to recognize linear and non-linear modulations. These classifiers estimate the posterior ...
Missing: nonlinear | Show results with:nonlinear
Classification of linear and nonlinear modulations using the Baum-Welch algorithm. Abstract: Nonlinear GMSK modulations are becoming new modulation standards ...
ABSTRACT. Nonlinear GMSK modulations are becoming new modula- tion standards for Telemetry/Telecommand satellite links. These new satellite systems will ...
This paper studies two Bayesian classifiers to recognize linear and non linear modulations. These classifiers estimate the posterior probabilities of the ...
Classification of linear and nonlinear modulations using the Baum-Welch algorithm · Anchalee Puengnim, N. Thomas, +1 author. J. Vidal · Published in European ...
Feb 4, 2022 · This classifier is based on a state trellis representation, allowing one to use a modified version of the Baum– Welch (BW) algorithm (proposed ...
This paper develops a novel algorithm for AMC when the amplitude and phase of the channel gains are unknown using the Markov chain Monte Carlo (MCMC) ...
People also ask
What is linear and non linear modulation?
What is Baum-Welch algorithm used for?
Classification of linear and nonlinear modulations using the Baum-Welch algorithm. A. Puengnim, N. Thomas, J. Tourneret, and J. Vidal. EUSIPCO, page 1-5 ...
Classification of Digital Linear and Nonlinear Modulations. Classification of Linear and Non Linear Modulations using the Baum Welch algorithm. The Algorithm.
This PhD thesis has been prepared at the Télécommunications Spatiales et Aéronautiques. (TéSA) in collaboration with the Centre National d'Etudes Spatiales ...