LAUSR

Variational Sparse Bayesian Learning for Estimation of Gaussian Mixture Distributed Wireless Channels

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0 Published in 2021 at "Entropy"

DOI: 10.3390/e23101268

Abstract: In this paper, variational sparse Bayesian learning is utilized to estimate the multipath parameters for wireless channels. Due to its flexibility to fit any probability density function (PDF), the Gaussian mixture model (GMM) is introduced… read more here.

Keywords: wireless channels; variational sparse; sparse bayesian; gaussian mixture ... See more keywords