Publications related to Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

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

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Martin Vetterli, David Gontier

Sampling information using timing is an approach that has received renewed attention in sampling theory. The question is how to map amplitude information into the timing domain. One such encoder, called time encoding machine, was introduced by Lazar and To ...

Elsevier2014

Multisensor Change Detection with Nonlinear Canonical Correlation

Devis Tuia, Frank Grégoire Jean de Morsier

The analysis of multi-modal and multi-sensor images is nowadays of paramount importance for Earth Observation (EO) applications. There exist a variety of methods that aim at fusing the different sources of information to obtain a compact representation of ...

2013

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Martin Vetterli, Jayakrishnan Unnikrishnan

Consider the task of sampling and reconstructing a bandlimited spatial field in

\Re^2

using moving sensors that take measurements along their path. It is inexpensive to increase the sampling rate along the paths of the sensors but more expensive to incre ...

Institute of Electrical and Electronics Engineers2013

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

Identification of Rational Transfer Functions from Sampled Data

Michaël Unser, John Paul Ward, Hagay Kirshner

We consider the task of estimating an operator from sampled data. The operator, which is described by a rational transfer function, is applied to continuous-time white noise and the resulting continuous-time process is sampled uniformly. The main question ...

SampTA2013

Energy-aware adaptive bi-Lipschitz embeddings

Volkan Cevher, Bubacarr Bah, Ali Sadeghian

We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows. Our design criteria is aimed at preserving the distances between the data points in the dimensionality reduced space as muc ...

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

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 2: Sampling Condensable Compounds

Christian Ludwig, Tilman J. Schildhauer

The performance of a continuous liquid-quench-based sampling system is presented, with regard to the sampling of condensable compounds. Toluene is used as a model molecule representing tars commonly found in the gas streams of biomass gasification plants a ...

Amer Chemical Soc2012

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

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

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Random sampling of bandlimited signals on graphs

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Multisensor Change Detection with Nonlinear Canonical Correlation

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

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

Identification of Rational Transfer Functions from Sampled Data

Energy-aware adaptive bi-Lipschitz embeddings

On Sampling and Coding for Distributed Acoustic Sensing

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 2: Sampling Condensable Compounds

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

Random sampling of bandlimited signals on graphs

On Sampling and Coding for Distributed Acoustic Sensing

Sampling based on timing: Time encoding machines on shift-invariant subspaces

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

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Identification of Rational Transfer Functions from Sampled Data

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

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 2: Sampling Condensable Compounds

Energy-aware adaptive bi-Lipschitz embeddings

Multisensor Change Detection with Nonlinear Canonical Correlation