May 29, 2014 · A novel Bayesian modulation classification scheme is proposed for a single-antenna system over frequency-selective fading channels.

Aug 20, 2014 · A novel Bayesian modulation classification scheme is proposed for a single-antenna system over frequency-selective fading channels.

The use of the proposed latent Dirichlet BN provides a systematic solution to the convergence problem encountered by the conventional Gibbs sampling approach ...

May 30, 2014 · Abstract—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 to a latent Dirichlet Bayesian network (BN). The use of the proposed latent Dirichlet BN provides a systematic ...

Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network · IEEE Signal Processing Letters 21(9): 1135-1139 · 2014 · Related ...

Then, based on this prior model, we develop a solution based on Gibbs sampling in Sec. IV-B. A. Latent Dirichlet Bayesian Network. According to (5), the joint ...

Haimovich and Wei Su, "Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network," ArXiv, 2014. Seongah Jeong, Osvaldo ...

A novel Bayesian modulation classification scheme is proposed for a single-antenna system over frequency-selective fading channels. Classification · General ...

Apr 8, 2016 · The classification problem is formulated as a Bayesian inference task, and solutions are proposed based on Gibbs sampling and mean field ...