Publications related to Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Metropolis-Hastings sampling of paths

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

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

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

Kinematics of age mixing in advection-dispersion models

Andrea Rinaldo, Paolo Benettin, Gianluca Botter

This paper investigates age mixing processes arising in advection-dispersion models, where large-scale travel and residence time distributions can be explicitly calculated based on the underlying velocity field. In particular, we analyze spatially integrat ...

American Geophysical Union2013

Sparse image reconstruction on the sphere: implications of a new sampling theorem

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

A new sampling theorem on the sphere has been developed recently, reducing the number of samples required to represent a band-limited signal by a factor of two for equiangular sampling schemes. For signals sparse in a spatially localised measure, such as i ...

Institute of Electrical and Electronics Engineers2013

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

Role of sampling in evaluating classical time autocorrelation functions

Jiri Vanicek, Tomas Zimmermann

We analyze how the choice of the sampling weight affects efficiency of the Monte Carlo evaluation of classical time autocorrelation functions. Assuming uncorrelated sampling or sampling with constant correlation length, we propose a sampling weight for whi ...

American Institute of Physics2013

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

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

Wavelet-variance-based estimation for composite stochastic processes

Jan Skaloud, Stéphane Guerrier, Yannick Stebler

This article presents a new estimation method for the parameters of a time series model. We consider here composite Gaussian processes that are the sum of independent Gaussian processes which, in turn, explain an important aspect of the time series, as is ...

Amer Statistical Assoc2013

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

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Metropolis-Hastings sampling of paths

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

Linear Bayesian Reinforcement Learning

Kinematics of age mixing in advection-dispersion models

Sparse image reconstruction on the sphere: implications of a new sampling theorem

Identification of Rational Transfer Functions from Sampled Data

Role of sampling in evaluating classical time autocorrelation functions

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

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

Wavelet-variance-based estimation for composite stochastic processes

Identification of Rational Transfer Functions from Sampled Data

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

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

Metropolis-Hastings sampling of paths

Sparse image reconstruction on the sphere: implications of a new sampling theorem

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

Linear Bayesian Reinforcement Learning

Kinematics of age mixing in advection-dispersion models

Role of sampling in evaluating classical time autocorrelation functions

Wavelet-variance-based estimation for composite stochastic processes