Zobrazeno 1 - 10
of 370
pro vyhledávání: '"Fleury, Bernard"'
In this paper, we present an iterative algorithm that detects and estimates the specular components and estimates the diffuse component of single-input-multiple-output (SIMO) ultra-wide-band (UWB) multipath channels. Specifically, the algorithm super
Externí odkaz:
http://arxiv.org/abs/2308.01702
We present a variational Bayesian (VB) implementation of block-sparse Bayesian learning (BSBL), which approximates the posterior probability density function (PDF) of the latent variables a factorzied proxy PDFs. The prior distribution of the BSBL hy
Externí odkaz:
http://arxiv.org/abs/2306.00442
A source traffic model for machine-to-machine communications is presented in this paper. We consider a model in which devices operate in a regular mode until they are triggered into an alarm mode by an alarm event. The positions of devices and events
Externí odkaz:
http://arxiv.org/abs/1709.00867
A number of recent works have proposed to solve the line spectral estimation problem by applying off-the-grid extensions of sparse estimation techniques. These methods are preferable over classical line spectral estimation algorithms because they inh
Externí odkaz:
http://arxiv.org/abs/1705.06073
We introduce a theoretical approach for designing generalizations of the approximate message passing (AMP) algorithm for compressed sensing which are valid for large observation matrices that are drawn from an invariant random matrix ensemble. By des
Externí odkaz:
http://arxiv.org/abs/1705.04284
We investigate the problem of approximate Bayesian inference for a general class of observation models by means of the expectation propagation (EP) framework for large systems under some statistical assumptions. Our approach tries to overcome the num
Externí odkaz:
http://arxiv.org/abs/1608.06602
In this paper, we address the fundamental problem of line spectral estimation in a Bayesian framework. We target model order and parameter estimation via variational inference in a probabilistic model in which the frequencies are continuous-valued, i
Externí odkaz:
http://arxiv.org/abs/1604.03744
Autor:
Zhang, Chuanzong, Wang, Zhongyong, Manchón, Carles Navarro, Sun, Peng, Guo, Qinghua, Fleury, Bernard Henri
Publikováno v:
IEEE Signal Processing Letters, vol. 23, No. 9, pp. 1216 -1220, Sept. 2016
This paper deals with turbo-equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation-propagation rule to convert messages passed from the demodulator-decod
Externí odkaz:
http://arxiv.org/abs/1603.04142
Autor:
Çakmak, Burak, Urup, Daniel N., Meyer, Florian, Pedersen, Troels, Fleury, Bernard H., Hlawatsch, Franz
We propose a hybrid message passing method for distributed cooperative localization and tracking of mobile agents. Belief propagation and mean field message passing are employed for, respectively, the motion-related and measurement-related part of th
Externí odkaz:
http://arxiv.org/abs/1512.07782
Publikováno v:
IEEE Transactions on Wireless Communications; August 2024, Vol. 23 Issue: 8 p10301-10318, 18p