Laurent Clavier

Centre National de la Recherche Scientifique

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P.A. Rolland

Centre National de la Recherche Scientifique

Gareth W. Peters

University of California, Santa Barbara

Malcolm Egan

Institut National des Sciences Appliquées de Lyon

Christophe Loyez

Centre National de la Recherche Scientifique

François Septier

Université de Bretagne Sud

Ido Nevat

Heriot-Watt University Malaysia

Nathalie Rolland

Centre National de la Recherche Scientifique

Yves Delignon

Université de Lille

Ahcène Bounceur

University of Sharjah

Umber Noreen

Université de Bretagne Occidentale

Cooperative Institutions

Centre National de la Recherche Scientifique

172

Université de Lille

Institut d'électronique de microélectronique et de nanotechnologie

Centre d’histoire sociale des mondes contemporains

École Centrale de Lille

Université Claude Bernard Lyon 1

Inserm

Centre de Recherche en Cancérologie de Lyon

Centre Léon Bérard

Université Polytechnique Hauts-de-France

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Turbo code decoding in MAI environment

Wei Gu Laurent Clavier Nathalie Rolland P.A. Rolland

Interference in several situations, like multiple access interference (MAI) in dense sensor networks, shows strong but rarely occurring pulses that greatly disturb communication, leading to serious performance degradation in classical decoders based on the Gaussian assumption. We propose to represent this impulsive noise with symmetric α-stable (SαS) distribution, well adapted due to its heavy tailed property. Therefore, the Euclidean distance derived from the Gaussian distribution is no longer valid for the SαS environment. We attempt to use the p-norm as a distance metric and evaluate it in the decoding scheme of turbo codes. Based on our simulation results, the new metric significantly reduces the bit error rate (BER) compared with the decoders using the Euclidean distance. It indicates that the p-norm could be an appropriate metric adapted to the MAI environment for turbo code decoding.

Turbo code

Turbo equalizer

10.1109/istc.2010.5613842

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Hidden Markov models compared to the wavelet transform for P-wave segmentation in EGC signals

European Signal Processing Conference (1998)

Laurent Clavier J.-M. Boucher Emmanuel Polard

The aim of this study is to detect P-wave onset and end of electrocardiograms (ECG). This wave is important for detecting people prone to atrial fibrillation, one of the most frequent heart diseases, but the wave is very difficult to segment accurately because of its small amplitude and the very different shapes it can take. Two different methods are tested for the segmentation : the first one is based on Hidden Markov Models. Though results are good, some particular cases are not well segmented. However a second method based on the Continuous Wavelet Transform can solve those problems.

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Event Detection in Sensor Networks With Non-Linear Amplifiers via Mixture Series Expansion

IEEE Sensors Journal (2016)

Pengfei Zhang Ido Nevat Gareth W. Peters Laurent Clavier

We develop a new algorithm for binary event detection in wireless sensor networks where the sensing process exhibits non-linear behavior causing clipping of the signals at random. We formulate the optimal event detection as a likelihood ratio test under a mixture model, which results in intractable marginal likelihood functions. To evaluate the intractable marginal likelihood functions, we develop a novel approximation via a non-parametric probability density estimator that is based on a series expansion of the Beta-Jacobi family of basis functions. The advantage of our algorithm is that it provides both high detection rate as well as very low computational complexity. In fact, our algorithm only requires the calculation of the first few moments of the model, which can be evaluated offline and is simple to implement in practice. Another feature of our model is that it is general enough to incorporate the probabilistic sensor non-linearities as well as transmission over random wireless channels. Simulation results demonstrate the benefits of using our framework, and that accounting for such practical features significantly improves the detection performance compared with the widely used Gaussian approximation method.

Marginal likelihood

10.1109/jsen.2016.2592103

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Le confinement de l’intérieur : Appropriations genrées de l’espace domestique

HAL (Le Centre pour la Communication Scientifique Directe) (2021)

Pierre-Yves Baudot Anouk Martin Aude Lebrun Marion Clerc Amélie Carrier

INT

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3.5 Multi-user systems and multi-user detection

HAL (Le Centre pour la Communication Scientifique Directe) (2006)

Laurent Clavier

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La barricade de Juin 1848 : une construction politique

Éditions de la Sorbonne eBooks (1997)

Laurent Clavier Louis Hincker

10.4000/books.psorbonne.1178

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An overview of impulse and self-heterodyne 60-GHz systems for hybrid networks based on polymer multimode fibres

Christophe Loyez Christophe Lethien Michaël Bocquet Nicolas Deparis Laurent Clavier

Heterodyne (poetry)

10.1109/eumc.2009.5296019

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Récepteur Wake-up radio basé sur des réseaux de neurones à impulsions pour la détection de séquence

Guillaume Marthe Claire Goursaud Laurent Clavier

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Hardware-in-the-Loop and Software-in-the-Loop Platform for Testing and Validation of Adaptable Radio Communications Systems for Railways at IP Layer

Lecture notes in computer science (2019)

Juan Moreno Maha Bouaziz Marion Berbineau Ying Yan José Soler

Interface (matter)

Hardware-in-the-loop simulation

10.1007/978-3-030-25529-9_10

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Réseaux de capteurs autonomes - Couche physique et architectures matérielles

Laurent Clavier Christophe Loyez

Les reseaux de capteurs sans fil demandent que le hardware et l'acces au canal ne soient plus concus pour l'efficacite spectrale, mais pour l'efficacite energetique. Le standard IEEE 802.15.4 propose les couches physiques et MAC pour ces systemes. La robustesse des liens (problematique du canal radio), l'architecture RF, et l'interference sont des elements clefs pour la comprehension et un deploiement judicieux de ces systemes. Cet article tente d'en faire comprendre les principes.

10.51257/a-v1-s7511

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