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Incentives for Truthful Information Elicitation of Continuous Signals

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Characterization of Non-Stationary Signals in Electric Grids: a Functional Dictionary Approach

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandra Cameron Karpilow

With the expanding role of converter-interfaced distributed energy resources, modern power grids are evolving towards low-inertia networks that are increasingly vulnerable to extreme dynamics. Consequently, advanced signal processing techniques are needed ...

IEEE Institute of Electrical and Electronics Engineers2021

Synthetic realistic noise-corrupted PPG database and noise generator for the evaluation of PPG denoising and delineation algorithms

David Atienza Alonso, Giulio Masinelli, Adriana Arza Valdes, Fabio Isidoro Tiberio Dell'Agnola

This database is meant to evaluate the performance of denoising and delineation algorithms for PPG signals affected by noise. The noise generator allows applying the algorithms under test to an artificially corrupted reference PPG signal and comparing its ...

2021

Adding Indoor Capacity without Fiber Backhaul: An mmWave Bridge Prototype

Andreas Peter Burg, Ruben Merz, Adrian Schumacher

Today, a large portion of mobile data traffic is consumed behind the shielding walls of buildings or in the Faraday cage of trains. This renders cellular network coverage from outdoor cell sites difficult. Indoor small cells and distributed antennas along ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

On the optimal sampling design for the Graph Total Variation decoder: recovering piecewise-constant graph signals from a few vertex measurements

Rodrigo Cerqueira Gonzalez Pena

Compressed Sensing teaches us that measurements can be traded for offline computation if the signal being sensed has a simple enough representation. Proper decoders can exactly recover the high-dimensional signal of interest from a lower-dimensional vector ...

EPFL2020

Hyperpolarization via dissolution dynamic nuclear polarization: new technological and methodological advances

Andrea Capozzi, Arthur César Pinon

Dissolution-DNP is a method to boost liquid-state NMR sensitivity by several orders of magnitude. The technique consists in hyperpolarizing samples by solid-state dynamic nuclear polarization at low temperature and moderate magnetic field, followed by an i ...

SPRINGER2021

Non-invasive glucose sensor

Assim Boukhayma

An optical device for the in noninvasive determination of the concentration of glucose or another analyte in blood using a combination of Raman spectrometry and PPG. The device includes an optical detector, preferably a CMOS imager including pinned photodi ...

2020

System for closed loop control of autonomic function

Grégoire Courtine, Jordan Squair

A neuromodulation system (10,110) is disclosed, especially a neurostimulation system (10,110), for treating a patient, especially for enhancing at least one autonomous function such a blood circulation and/or respiration, wherein the system comprises • - a ...

2020

Noise-Resilient and Interpretable Epileptic Seizure Detection

David Atienza Alonso, Amir Aminifar, Anthony Hitchcock Thomas

Deep convolutional neural networks have recently emerged as a state-of-the art tool in detection of seizures. Such models offer the ability to extract complex nonlinear representations of an electroencephalogram (EEG) signal which can improve accuracy over ...

IEEE2020

A Magnet-Based Timing System to Detect Gate Crossings in Alpine Ski Racing

Kamiar Aminian, Benedikt Fasel

In alpine skiing, intermediate times are usually measured with photocells. However, for practical reasons, the number of intermediate cells is limited to three⁻four, making a detailed timing analysis difficult. In this paper, we propose and validate a magn ...

2019

A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

Mikhail Kapralov, Amir Zandieh

Reconstructing continuous signals based on a small number of discrete samples is a fundamental problem across science and engineering. We are often interested in signals with "simple" Fourier structure - e.g., those involving frequencies within a bounded r ...

ASSOC COMPUTING MACHINERY2019

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