Publications associées à Fréquence de Nyquist

Accelerated MP2RAGE imaging using Cartesian phyllotaxis readout and compressed sensing reconstruction

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Reto Meuli

Purpose MP2RAGE T-1-weighted imaging has been shown to be beneficial for various applications, mainly because of its good grey-white matter contrast, its B-1-robustness and ability to derive T(1)maps. Even using parallel imaging, the method requires long a ...

WILEY2020

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems

David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Grégoire Casimir Joseph Surrel

In the context of wearable medical systems, resources are scarce while performance requirements are high. Traditional sampling strategies create large amounts of data, which hinders the device's battery lifetime. However, energy savings are possible when r ...

2019

Input-Admittance Passivity Compliance for Grid-Connected Converters With an LCL Filter

Drazen Dujic, Francisco Daniel Freijedo Fernández, Enrique Rodriguez Diaz

This work presents a design methodology and its experimental validation for the input-admittance passivity compliance of LCL grid-connected converters. The designs of the LCL filter parameters and discrete controller are addressed systematically, and suita ...

2019

Multi-Variable High-Frequency Input-Admittance of Grid-Connected Converters: Modeling, Validation and Implications on Stability

Drazen Dujic, Francisco Daniel Freijedo Fernández, Marc Ferrer Duran

Modern grids are facing a massive integration of power electronics devices, usually associated to instability issues. In order to assess the likelihood and severity of harmonic instability in the high frequency region, this work develops a multi-variable i ...

2019

Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications

Sandro Carrara, Danilo Demarchi, Simone Aiassa

The recent advancements in electrochemical measurements are guiding the development of new platforms for in situ point-of-care monitoring of human-metabolite, markers, and drugs. Despite this, the application of voltammetry-based sensing (VBS) techniques i ...

2019

Data-driven spatio-temporal discretization for pedestrian flow characterization

Michel Bierlaire, Marija Nikolic

We propose a novel approach to pedestrian flow characterization. The definitions of density, flow and velocity existing in the literature are extended through a data-driven spatio-temporal discretization framework. The framework is based on three-dimension ...

Elsevier Science Bv2017

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Adrien Georges Jean Besson, Olivier Bernard

The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) imaging with prom ...

Ieee2016

High-resolution monitoring of bedload transport rates: a benchmark of two approaches (accelerometers and image processing).

Blaise Etienne Marceau Dhont, Gauthier Paul Daniel Marie Rousseau

Experimental and field studies have shown how intermittent bedload transport can be at low flow rates. The development and validation of bedload-transport equations require high-resolution records over long periods of time. Two technologies are considered ...

2016

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Fréquence de Nyquist

Accelerated MP2RAGE imaging using Cartesian phyllotaxis readout and compressed sensing reconstruction

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems

Input-Admittance Passivity Compliance for Grid-Connected Converters With an LCL Filter

Multi-Variable High-Frequency Input-Admittance of Grid-Connected Converters: Modeling, Validation and Implications on Stability

Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications

Pattern Recognition in Non-uniformly sampled electrocardiogram signal for wearable sensors

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

Data-driven spatio-temporal discretization for pedestrian flow characterization

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

High-resolution monitoring of bedload transport rates: a benchmark of two approaches (accelerometers and image processing).

Graph Chatbot

Chattez avec Graph Search

Accelerated MP2RAGE imaging using Cartesian phyllotaxis readout and compressed sensing reconstruction

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems

Input-Admittance Passivity Compliance for Grid-Connected Converters With an LCL Filter

Multi-Variable High-Frequency Input-Admittance of Grid-Connected Converters: Modeling, Validation and Implications on Stability

Pattern Recognition in Non-uniformly sampled electrocardiogram signal for wearable sensors

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications

High-resolution monitoring of bedload transport rates: a benchmark of two approaches (accelerometers and image processing).

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Data-driven spatio-temporal discretization for pedestrian flow characterization