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Concept

Filtre adaptatif

Publications associées (20)

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Marco Picasso, Paride Passelli

The p-Laplacian problem -del & sdot; ((mu + |del u|(p-2))del u) = f is considered, where mu is a given positive number. An anisotropic a posteriori residual-based error estimator is presented. The error estimator is shown to be equivalent, up to higher ord ...

Walter De Gruyter Gmbh2024

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Mario Paolone, Willem Lambrichts

In this paper, we present an exact (i. e. non-approximated) and linear measurement model for hybrid AC/DC microgrids for recursive state estimation (SE). More specifically, an exact linear model of a voltage source converter (VSC) is proposed. It relies on ...

New York2023

A 60 GHz QDCO with 11 GHz Seamless Tuning for Low-Power FMCW Radars in 22-nm FDSOI

Christian Enz, Francesco Chicco, Sammy Cerida Rengifo

This paper presents the design of a 60GHz Quadrature Digitally-Controlled Oscillator for a low-power Frequency-Modulated Continuous Wave radar System-on-Chip. The accurate detection of vital signs requires 1 and Q demodulation of the received signal. The q ...

IEEE2021

General Sensorless Method with Parameter Identification and Double Kalman Filter Applied to a Bistable Fast Linear Switched Reluctance Actuator for Textile Machine

Yves Perriard, Douglas Martins Araujo

This paper provides a general sensorless method to control the position of a linear actuator. After a review of the solutions used so far, this new method is applied to identify keys passing through a linear actuator used in an industrial textile machine. ...

INST ELECTRICAL ENGINEERS JAPAN2019

Adaptive Streaming in Interactive Multiview Video Systems

Pascal Frossard, Laura Toni, Xue Zhang

Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. A real feeling of scene navigation is enabled by transmitting multiple high-quality camera views, which can be used to synthesize addition ...

2019

Pyroomacoustics: A Python Package For Audio Room Simulation And Array Processing Algorithms

Ivan Dokmanic, Robin Scheibler, Eric Bezzam

We present pyroomacoustics, a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the package can be divided into three main components: an intuitive Python object-oriented interface to quickly c ...

IEEE2018

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Jean-Marc Vesin, Sibylle Fallet

Photoplethysmographic (PPG) signals are easily corrupted by motion artifacts when the subjects perform physical exercise. This paper introduces a two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motio ...

Institute of Physics2017

A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation

Mario Paolone, Jean-Yves Le Boudec, Sidi-Rachid Cherkaoui, Lorenzo Zanni

In this paper, we present a new method for the estimation of the prediction-error covariances of a Kalman filter (KF), which is suitable for step-varying processes. The method uses a series of past innovations (i.e., the difference between the upcoming mea ...

Institute of Electrical and Electronics Engineers2017

The recursive Hessian sketch for adaptive filtering

Martin Vetterli, Robin Scheibler

We introduce in this paper the recursive Hessian sketch, a new adaptive filtering algorithm based on sketching the same exponentially weighted least squares problem solved by the recursive least squares algorithm. The algorithm maintains a number of sketch ...

Ieee2016

Adaptive Millimeter-Wave and THz Antenna Devices Based on Dielectric Elastomer Actuators

Pietro Romano

Dynamic reconfiguration of antenna devices is becoming a prime need in emerging telecommunication and remote sensing systems operating in the portion of the electromagnetic (EM) spectrum spanning from millimeter-wave (MMW) to terahertz. Different technique ...

EPFL2015

Comparative analysis of digital pulse processing methods at high count rates

Stefano Coda, Philippe Marmillod, Silvano Gnesin, Josef Kamleitner

An extensive study of digital pulse processing methods is presented. Existing methods, both traditional and more recent, are compared with original advanced techniques within an appropriate modeling and benchmarking framework. This comprehensive approach e ...

Elsevier Science Bv2014

An Adaptive Multiscale Finite Element Method

Patrick Henning

This work is devoted to an adaptive multiscale finite element method (MsFEM) for solving elliptic problems with rapidly oscillating coefficients. Starting from a general version of the MsFEM with oversampling, we derive an a posteriori estimate for the H-1 ...

Siam Publications2014

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

Devis Tuia

This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces. Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define the model recursivity in the Hilbert spa ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Automatic Front-Crawl Temporal Phase Detection Using Adaptive Filtering of Inertial Signals

Kamiar Aminian, Farzin Dadashi, Grégoire Millet, Florent Crettenand

This study introduces a novel approach for automatic temporal phase detection and inter-arm coordination estimation in front-crawl swimming using inertial measurement units (IMUs). We examined the validity of our method by comparison against a video-based ...

Taylor & Francis2013

Efficient Schemes for Adaptive Frequency Tracking and their Relevance for EEG and ECG

Jérôme Sébastien Van Zaen

Amplitude and frequency are the two primary features of one-dimensional signals, and thus both are widely utilized to analysis data in numerous fields. While amplitude can be examined directly, frequency requires more elaborate approaches, except in the si ...

EPFL2012

Bi-Exponential Edge-Preserving Smoother

Michaël Unser, Philippe Thévenaz, Daniel Sage

Edge-preserving smoothers need not be taxed by a severe computational cost. We present, in this paper, a lean algorithm that is inspired by the bi-exponential filter and preserves its structure-a pair of one-tap recursions. By a careful but simple local ad ...

Institute of Electrical and Electronics Engineers2012

Kalman Filter to Measure Position and Speed of a Linear Actuator

Yves Perriard, Miroslav Markovic, Joël Maridor

This paper presents a method to dynamically filter the position and the speed of a linear actuator during its closing. A previous paper presented position detection without external sensor but, by simply deriving it, the corresponding speed was not usable ...

IEEE2011

Adaptive tracking of EEG oscillations

Jean-Marc Vesin, Laurent Renaud Uldry, Cédric Duchene, Jérôme Sébastien Van Zaen, Yann Prudat

Neuronal oscillations are an important aspect of EEG recordings. These oscillations are supposed to be involved in several cognitive mechanisms. For instance, oscillatory activity is considered a key component for the top-down control of perception. Howeve ...

2010

An Energetic Based Method Leading to Merged Control Loops for the Stability of Input Filters

Philippe Barrade

In most of applications, power converters are controlled to allow their output current/voltage to follow the required reference values. For DC/DC and DC/AC converters, the control must take into account their input voltage, which must be rejected. In such ...

2010

Adaptive frequency tracking and application to biomedical signals

Yann Prudat

The main information of a signal resides in its frequency, its amplitude (or its power) and in their temporal evolution. Thus, a great number of methods for instantaneous frequency estimation have been proposed in the literature. Most of these algorithms u ...

EPFL2009