Publications related to Improved echo volumar imaging (EVI) for functional MRI

Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Volkan Cevher, Baran Gözcü, Thomas Sanchez

In the last decade, Compressive Sensing (CS) has emerged as the most promising, model-driven approach to accelerate MRI scans. CS relies on the key sparsity assumption and proposes random sampling for data acquisition. The practical CS approaches in MRI em ...

IEEE2019

Assessment of passive sampling for the monitoring of explosive residues in surface water

Sylvain Coudret, Luiz Felippe De Alencastro, Nicolas Estoppey

Between 1920 and 1967, approximately 8’200 tons of ammunition waste were dumped into several Swiss lakes. Previous studies based on grab sampling revealed traces of HMX, RDX and PETN in the water column of three studied lakes; however, these researches sho ...

2018

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

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Yue Lu, Ivan Dokmanic

We propose a sampling scheme that can perfectly reconstruct a collection of spikes on the sphere from samples of their lowpass-filtered observations. Central to our algorithm is a generalization of the annihilating filter method, a tool widely used in arra ...

Institute of Electrical and Electronics Engineers2016

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

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

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 1: Sampling Noncondensable Compounds

Christian Ludwig, Tilman J. Schildhauer

In biomass gasification plants and related research units, on-line analysis of noncondensable compounds (H-2, CO, CO2, CH4, and light hydrocarbons) and condensable compounds (water, tars, etc.) is desired. Long-duration on-line measurements are often a cha ...

Amer Chemical Soc2012

An Algorithm to Compensate the Effects of Spurious PLL Tones in Spectrum Sensing Architectures

Ali H. Sayed

In a nonideal PLL circuit, leakage of the reference signal into the control line produces spurious tones. When the distorted PLL signal is used as a sampling clock to an analog-to-digital converter (ADC), it creates spurious sidebands in the sampled data a ...

IEEE2012

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

On Sampling a High-Dimensional Bandlimited Field on a Union of Shifted Lattices

Martin Vetterli, Jayakrishnan Unnikrishnan

We study the problem of sampling a high-dimensional bandlimited field on a union of shifted lattices under certain assumptions motivated by some practical sampling applications. Under these assumptions, we show that simple necessary and sufficient conditio ...

Ieee2012

Improved echo volumar imaging (EVI) for functional MRI

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Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Assessment of passive sampling for the monitoring of explosive residues in surface water

Sampling at unknown locations, with an application in surface retrieval

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Random sampling of bandlimited signals on graphs

Metropolis-Hastings sampling of paths

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 1: Sampling Noncondensable Compounds

An Algorithm to Compensate the Effects of Spurious PLL Tones in Spectrum Sensing Architectures

On Sampling and Coding for Distributed Acoustic Sensing

On Sampling a High-Dimensional Bandlimited Field on a Union of Shifted Lattices

Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Assessment of passive sampling for the monitoring of explosive residues in surface water

Sampling at unknown locations, with an application in surface retrieval

Random sampling of bandlimited signals on graphs

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 1: Sampling Noncondensable Compounds

Sampling Sparse Signals on the Sphere: Algorithms and Applications

An Algorithm to Compensate the Effects of Spurious PLL Tones in Spectrum Sensing Architectures

On Sampling a High-Dimensional Bandlimited Field on a Union of Shifted Lattices

On Sampling and Coding for Distributed Acoustic Sensing

Metropolis-Hastings sampling of paths