Publications related to Identification of Rational Transfer Functions from Sampled Data

Riemannian Optimization For High-Dimensional Tensor Completion

Tensor completion aims to reconstruct a high-dimensional data set where the vast majority of entries is missing. The assumption of low-rank structure in the underlying original data allows us to cast the completion problem into an optimization problem rest ...

Siam Publications2016

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

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Michaël Unser, John Paul Ward, Hagay Kirshner

In this work, we investigate the relationship between continuous-time autoregressive (AR) models and their sampled version. We consider uniform sampling and derive criteria for uniquely determining the continuous-time parameters from sampled data; the mode ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Calibration and field application of passive sampling for episodic exposure to polar organic pesticides in streams

Rainfall-triggered runoff is a major driver of pesticide input in streams. Only few studies have examined the suitability of passive sampling to quantify such episodic exposures. In this study, we used Empore(TM) styrene-divinylbenzene reverse phase sulfon ...

Elsevier2014

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

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

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

Effective Enrichment of Gene Expression Data Sets

Utku Sirin

The ever-growing need for gene-expression data analysis motivates studies in sample generation due to the lack of enough gene-expression data. It is common that there are thousands of genes but only tens or rarely hundreds of samples available. In this pap ...

2012

MMSE Denoising of Sparse Lévy Processes via Message Passing

Michaël Unser, Azin Amini, Ulugbek Kamilov

Many recent algorithms for sparse signal recovery can be interpreted as maximum-a-posteriori (MAP) estimators relying on some specific priors. From this Bayesian perspective, state-of-the-art methods based on discrete-gradient regularizers, such as total- ...

IEEE2012

Mmse Denoising Of Sparse Levy Processes Via Message Passing

Michaël Unser, Arash Amini, Ulugbek Kamilov

Many recent algorithms for sparse signal recovery can be interpreted as maximum-a-posteriori (MAP) estimators relying on some specific priors. From this Bayesian perspective, state-of-the-art methods based on discrete-gradient regularizers, such as total-v ...

Ieee2012

Identification of Rational Transfer Functions from Sampled Data

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Riemannian Optimization For High-Dimensional Tensor Completion

Random sampling of bandlimited signals on graphs

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Calibration and field application of passive sampling for episodic exposure to polar organic pesticides in streams

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

Metropolis-Hastings sampling of paths

Role of sampling in evaluating classical time autocorrelation functions

Effective Enrichment of Gene Expression Data Sets

MMSE Denoising of Sparse Lévy Processes via Message Passing

Mmse Denoising Of Sparse Levy Processes Via Message Passing

Effective Enrichment of Gene Expression Data Sets

Metropolis-Hastings sampling of paths

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Random sampling of bandlimited signals on graphs

Calibration and field application of passive sampling for episodic exposure to polar organic pesticides in streams

Mmse Denoising Of Sparse Levy Processes Via Message Passing

Riemannian Optimization For High-Dimensional Tensor Completion

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

Role of sampling in evaluating classical time autocorrelation functions

MMSE Denoising of Sparse Lévy Processes via Message Passing