Publications associées à Filtre de Butterworth

Optimal digital filter selection for remote photoplethysmography (rPPG) signal conditioning

Remote photoplethysmography (rPPG) using camera-based imaging has shown excellent potential recently in vital signs monitoring due to its contactless nature. However, the optimum filter selection for pre-processing rPPG data in signal conditioning is still ...

IOP Publishing Ltd2023

Topological Effects in Carbon-based Two-dimensional Nanostructures

Yifei Guan

Recent advances on low-dimensional and topological materials has greatly inspired the research in condensed matter physics. This thesis is devoted to the computational and theoretical study of topological effects in two-dimensional materials, especially na ...

EPFL2023

Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis

Yves Perriard, Yoan René Cyrille Civet, Thomas Guillaume Martinez, Stefania Maria Aliki Konstantinidi, Armando Matthieu Walter, Amine Benouhiba

Facial paralysis is a highly burdening condition, resulting in a patient's inability to move his mimic musculature on one or both sides of his face. This condition compromises the patient's communication and facial expressions, and thus dramatically reduce ...

2023

Penalized denoising of vehicle trajectories collected by a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis, Georgios Anagnostopoulos

Vehicle trajectory datasets collected in urban traffic environments with drones pose unique chal- lenges in terms of denoising due to extensive visual restrictions, perspective distortions and human- induced errors. This article taps into the unexplored po ...

2022

Incompleteness of graph neural networks for points clouds in three dimensions

Michele Ceriotti, Sergey Pozdnyakov

Graph neural networks (GNN) are very popular methods in machine learning and have been applied very successfully to the prediction of the properties of molecules and materials. First-order GNNs are well known to be incomplete, i.e. there exist graphs that ...

IOP Publishing Ltd2022

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets

Pascal Frossard, Chenglin Li, Mingxing Xu

Spectral-based graph neural networks (SGNNs) have been attracting increasing attention in graph representation learning. However, existing SGNNs are limited in implementing graph filters with rigid transforms and cannot adapt to signals residing on graphs ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

A formula for the admittance of laterally excited bulk wave resonators (XBARs)

Luis Guillermo Villanueva Torrijo, Soumya Yandrapalli, Victor Plessky

The recently invented laterally excited bulk wave resonators (XBARs) demonstrate outstanding parameters suitable for the design of low loss filters for the fifth generation of mobile phones. The operation of XBARs can be interpreted as an excitation of ant ...

WILEY2021

Figlearn: Filter And Graph Learning Using Optimal Transport

Pascal Frossard, Mireille El Gheche, Matthias Minder, Zahra Farsijani

In many applications, a dataset can be considered as a set of observed signals that live on an unknown underlying graph structure. Some of these signals may be seen as white noise that has been filtered on the graph topology by a graph filter. Hence, the k ...

IEEE2021

Medium Voltage Impedance and Admittance Measurement and System Identification Techniques

Marko Petkovic

The recent trend of an increasing share of renewable energy sources in modern power systems, as well as the integration of power electronics equipment, is shaping the requirements for stable grid infrastructure. These requirements mainly come from the stab ...

EPFL2021

Switchable and Simultaneous Spatiotemporal Analog Computing with Computational Graphene-based Multilayers

Romain Christophe Rémy Fleury, Ali Momeni

In the past few years, analog computing has experienced rapid development but mostly for a single function. Motivated by parallel space-time computing and miniaturization, we show that reconfigurable graphene-based multilayerss offer a promising path towar ...

2022

Modified Transmission Line Model with a Current Attenuation Function Derived from the Lightning Radiation Field—MTLD Model

Marcos Rubinstein, Farhad Rachidi-Haeri

In return strokes, the parameters that can be measured are the channel base current and the return stroke speed. For this reason, many return stroke models have been developed with these two parameters, among others, as inputs. Here, we concentrate on the ...

2021

A 49 mu W 6th-Order Chebyshev SSF-based Low-Pass Analog Filter for IEEE 802.11ax

Christian Enz, Alessandro Pezzotta, Daniel Mathias Bold, Salvatore Collura

In this paper a continuous-time low-pass analog filter based on the Cascoded Super Source Follower (C-SSF) architecture, implemented in a 28-nm bulk CMOS process, is presented. The target application is the transceiver analog baseband for the next-generati ...

IEEE2020

Photocatalytic Nanowires-Based Air Filter: Towards Reusable Protective Masks

László Forró, Endre Horvath, Andrzej Sienkiewicz, Caroline Lehmann

In the last couple decades, several viral outbreaks resulting in epidemics and pandemics with thousands of human causalities have been witnessed. The current Covid-19 outbreak represents an unprecedented crisis. In stopping the virus' spread, it is fundame ...

WILEY-V C H VERLAG GMBH2020

MANTIS: A real-time quantitative multispectral imaging system for fusion plasmas

Basil Duval, Cristian Galperti, Yanis Andrebe, Artur Perek, Kevin Henricus Annemarie Verhaegh, Wouter Vijvers

This work presents a novel, real-time capable, 10-channel Multispectral Advanced Narrowband Tokamak Imaging System installed on the TCV tokamak, MANTIS. Software and hardware requirements are presented together with the complete system architecture. The im ...

AMER INST PHYSICS2019

A CMOS Analog Front-End for Implantable Pulmonary Artery Pressure Monitoring System

Marco Mattavelli, Catherine Dehollain, Diego Ruben Barrettino, Kerim Türe, Mustafa Besirli

This paper presents an energy-efficient analog front-end circuit to monitor the pulmonary artery pressure (PAP) with piezoresistive pressure sensors. A low-power capacitively-coupled instrumentation amplifier (CCIA) is developed in order to boost the ampli ...

IEEE2019

Analysis and Comparison of Notch Filter and Capacitor Voltage Feedforward Active Damping Techniques for LCL Grid-Connected Converters

Francisco Daniel Freijedo Fernández, Enrique Rodriguez Diaz

The use of LCL filters is a well-accepted solution to attenuate the harmonics created by the pulsewidth modulation. However, inherently LCL filters have a resonance region where the unwanted harmonics are amplified, which can compromise stability. Several ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Graph-based image representation learning

Renata Khasanova

Though deep learning (DL) algorithms are very powerful for image processing tasks, they generally require a lot of data to reach their full potential. Furthermore, there is no straightforward way to impose various properties, given by the prior knowledge a ...

EPFL2019

Applicability of Tail Corrections in the Molecular Simulations of Porous Materials

Berend Smit, Daniele Ongari, Kevin Maik Jablonka

Molecular simulations with periodic boundary conditions require the definition of a certain cutoff radius, r(c) beyond which pairwise dispersion interactions are neglected. For the simulation of homogeneous phases the use of tail corrections is well-establ ...

2019

Cyclic Load-Transfer Approach for the Analysis of Energy Piles

Lyesse Laloui, Melis Sütman

Energy piles, due to their unique roles of coupling the structural support and heat exchange with the surrounding ground, are subject to temperature cycles during their lifetime. Although their behaviour during individual temperature increase or decrease h ...

ASCE-AMER SOC CIVIL ENGINEERS2019

Performance analysis of the differential pulse-width pair Brillouin optical time domain analysis using the log normalized and linearly normalized gain

Luc Thévenaz, Simon Adrien Zaslawski, Zhisheng Yang

The performance of the differential pulse-width pair Brillouin optical time domain analysis (DPP-BOTDA) is evaluated experimentally using either the gain from log normalization or linear normalization for the subtraction of traces collected with pump pulse ...

SPIE2019