Publications related to Sampling and reconstructing diffusion fields in presence of aliasing

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

A CMOS image sensor including at least one pixel and one circuit arranged to receive, on a first node of the circuit, an analog signal representative of the luminosity level received by the pixel, the circuit being capable of successively acquiring 2n samp ...

2016

Sensing the real world

Juri Ranieri

A sensor is a device that detects or measures a physical property and records, indicates, or otherwise responds to it. In other words, a sensor allows us to interact with the surrounding environment, by measuring qualitatively or quantitatively a given phe ...

EPFL2014

Development of a low-cost wireless controller for flexible sampling strategies based on real-time flow monitoring

Andrea Rinaldo, Pierre Claude Jean Queloz, Jonathan Besuchet

Even if models are able to predict more and more accurately pollutant discharge in streams, surface water sampling remains a very common practice to monitor substance concentrations and loads in streams and to calibrate models. However, as this method is t ...

2013

On Sampling and Coding for Distributed Acoustic Sensing

Martin Vetterli, Emre Telatar, Robert Konsbruck

The issue of how to efficiently represent the data collected by a network of microphones recording spatio-temporal acoustic wave fields is addressed. Each sensor node in the network samples the sound field, quantizes the samples and transmits the encoded s ...

2012

Sensor Networks for Diffusion Fields: Detection of Sources in Space and Time

Martin Vetterli, Ivan Dokmanic, Juri Ranieri, Amina Chebira

Abstract—We consider the problem of reconstructing a diffusion field, such as temperature, from samples collected by a sensor network. Motivated by the fast decay of the eigenvalues of the diffusion equation, we approximate the field by a truncated series. ...

2011

Sampling Trajectories for Mobile Sensing

Martin Vetterli, Jayakrishnan Unnikrishnan

Classical sampling theory for sampling and reconstructing bandlimited fields in

\Re^d

addresses the problem of sampling on lattice points. We consider a generalization of this problem, in which one samples the field along

1

-dimensional spatial trajecto ...

2011

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Michele Ceriotti

Multiple time scale molecular dynamics enhances computational efficiency by updating slow motions less frequently than fast motions. However, in practice, the largest outer time step possible is limited not by the physical forces but by resonances between ...

American Institute of Physics2011

Sampling and Reconstructing Diffusion Fields with Localized Sources

Martin Vetterli, Yue Lu, Juri Ranieri, Amina Chebira

We study the spatiotemporal sampling of a diffusion field generated by K point sources, aiming to fully reconstruct the unknown initial field distribution from the sample measurements. The sampling operator in our problem can be described by a matrix deriv ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Implications for compressed sensing of a new sampling theorem on the sphere

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Gilles Puy, Jason Douglas McEwen

A sampling theorem on the sphere has been developed recently, requiring half as many samples as alternative equiangular sampling theorems on the sphere. A reduction by a factor of two in the number of samples required to represent a band-limited signal on ...

2011

Non-linear interpolation and adaptive sampling of scattering parameters

Michael Mattes

The accurate and efficient sampling of scattering parameters is addressed. A popular sampling technique is the uniform sampling combined with a straight-line interpolation for representing the continuous variation of the observable. However, this sampling ...

2010

Sampling and reconstructing diffusion fields in presence of aliasing

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CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Sensing the real world

Development of a low-cost wireless controller for flexible sampling strategies based on real-time flow monitoring

On Sampling and Coding for Distributed Acoustic Sensing

Sensor Networks for Diffusion Fields: Detection of Sources in Space and Time

Sampling Trajectories for Mobile Sensing

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Sampling and Reconstructing Diffusion Fields with Localized Sources

Implications for compressed sensing of a new sampling theorem on the sphere

Non-linear interpolation and adaptive sampling of scattering parameters

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Sensing the real world

On Sampling and Coding for Distributed Acoustic Sensing

Sensor Networks for Diffusion Fields: Detection of Sources in Space and Time

Sampling and Reconstructing Diffusion Fields with Localized Sources

Sampling Trajectories for Mobile Sensing

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Implications for compressed sensing of a new sampling theorem on the sphere

Non-linear interpolation and adaptive sampling of scattering parameters

Development of a low-cost wireless controller for flexible sampling strategies based on real-time flow monitoring