Publications related to Sensing and communication with and without bits

Wearable System for Real-Time Sensing of Biomarkers in Human Sweat

Wearable sweat sensing systems offer non-invasive and real-time bio-data streaming solutions. They open the possibility for continuous monitoring of biomarkers' concentrations as well as their variation in sweat, which is a complementary to current passive ...

EPFL2019

Sampling at unknown locations, with an application in surface retrieval

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield, Michalina Wanda Pacholska

We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away from t ...

2017

Gauging the highs: design and realization of a water sample campaign during high and low streamflow

How does the streamwater quality change during storm events, and how to characterize it? The purpose of this study is to investigate the evolution of major ions in streamwater from base ow to storm ux. Regular manual sampling and automated sampling campaig ...

2017

Extracting the interfacial free energy and anisotropy from a smooth fluctuating dividing surface

Michele Ceriotti, Gareth Aneurin Tribello, Edoardo Baldi

Interfaces between different materials and phases play a crucial role in many physical and chemical phenomena. When performing simulations of matter at the atomic scale, however, it is often not trivial to characterize these interfaces, particularly when t ...

Iop Publishing Ltd2017

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

An overview of robust compressive sensing of sparse signals in impulsive noise

Alonso Ramirez Manzanares, Rafael Eduardo Carrillo Rangel

While compressive sensing (CS) has traditionally relied on L2 as an error norm, a broad spectrum of applications has emerged where robust estimators are required. Among those, applications where the sampling process is performed in the presence of impulsiv ...

2015

Picogram per liter detections of pyrethroids and organophosphates in surface waters using passive sampling

Juliane Hollender

Pyrethroids and organophosphates are among the most toxic insecticides for aquatic organisms, leading to annual-average environmental quality standards (AA-EQS) in the picogram per liter range in surface waters. For monitoring purposes, it is therefore cru ...

Elsevier2014

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and he ...

2013

Linear Bayesian Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis

This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...

2013

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid

Alfred Johny Wüest

Apart from their contribution in the water balance of Lake Ohrid, Republic of Macedonia, subaquatic springs are also expected to affect the water quality. A simple experiment was developed and applied to subaquatic spring in Kališta region (south-east of K ...

2013

Sensing and communication with and without bits

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Wearable System for Real-Time Sensing of Biomarkers in Human Sweat

Sampling at unknown locations, with an application in surface retrieval

Gauging the highs: design and realization of a water sample campaign during high and low streamflow

Extracting the interfacial free energy and anisotropy from a smooth fluctuating dividing surface

Random sampling of bandlimited signals on graphs

An overview of robust compressive sensing of sparse signals in impulsive noise

Picogram per liter detections of pyrethroids and organophosphates in surface waters using passive sampling

Metropolis-Hastings sampling of paths

Linear Bayesian Reinforcement Learning

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid

Gauging the highs: design and realization of a water sample campaign during high and low streamflow

Wearable System for Real-Time Sensing of Biomarkers in Human Sweat

Extracting the interfacial free energy and anisotropy from a smooth fluctuating dividing surface

Linear Bayesian Reinforcement Learning

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid

Sampling at unknown locations, with an application in surface retrieval

Random sampling of bandlimited signals on graphs

An overview of robust compressive sensing of sparse signals in impulsive noise

Picogram per liter detections of pyrethroids and organophosphates in surface waters using passive sampling

Metropolis-Hastings sampling of paths