Publications related to Sampling innovations

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Sampling moiré effects are well known in signal processing. They occur when a continuous periodic signal g(x) is sampled using a sampling frequency fs that does not respect the Nyquist condition, and the signal frequency f folds-over and gives a new, false ...

The Royal Society Publishing2015

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function u in multivariate polynomial spaces

P_\Lambda := span\{y \mapsto y^\nu | \nu \in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma := [-1,1]^d

, based on the sa ...

MATHICSE2015

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Ting Zhu

The goal of the present PhD research is to establish a methodology of nuclear data uncertainty quantification (NDUQ) for MCNPX, the continuous-energy Monte-Carlo (M-C) code. The high fidelity (continuous-energy treatment and flexible geometry modelling) of ...

EPFL2015

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

Zafer Dogan

Foundations of signal processing are heavily based on Shannon's sampling theorem for acquisition, representation and reconstruction. This theorem states that signals should not contain frequency components higher than the Nyquist rate, which is half of the ...

EPFL2015

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

Martin Vetterli, Jayakrishnan Unnikrishnan

We study the design of sampling trajectories for stable sampling and the reconstruction of bandlimited spatial fields using mobile sensors. The spectrum is assumed to be a symmetric convex set. As a performance metric we use the path density of the set of ...

Elsevier2015

The upgraded Collective Thomson Scattering diagnostics of FTU

Cristian Galperti, Gabriele Grosso

The 140 GHz Collective Thomson Scattering (CTS) diagnostics installed on the Frascati Tokamak Upgrade (FTU) has been upgraded. The new system now is ready both to detect the thermal CTS radiation (for the first time with the probe frequency below the 1st h ...

Elsevier2015

Association of PCK1 with Body Mass Index and Other Metabolic Features in Patients With Psychotropic Treatments

Pierre Magistretti, Aurélie Delacrétaz

Weight gain is a major health problem among psychiatric populations. It implicates several receptors and hormones involved in energy balance and metabolism. Phosphoenolpyruvate carboxykinase 1 is a rate-controlling enzyme involved in gluconeogenesis, glyce ...

Lippincott, Williams & Wilkins2015

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

Andreas Pautz, Damar Canggih Wicaksono, Omar Zerkak

Understanding properly the impact of model parameters and their interactions on the predictions is required for an appropriate model assessment. For simulation of reflooding following a LOCA, this requirement is justified because the important parameters a ...

2015

Method for determining the walsh-hadamard transform of n samples of a signal and apparatus for performing the same

Martin Vetterli, Robin Scheibler, Saeid Haghighatshoar

A computer-implemented method for determining the Walsh-Hadamard transform of N samples of a signal, comprises electing a plurality of hashing C matrices Σ1, . . . ΣC, computing C hashes of a particular length based at least on a hashing front end and the ...

2015

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets

Agnieszka Katarzyna Miedlar

The first algorithms for computing the minimal Geršgorn set were developed by Varga et all. in [17] for the use on small and medium size (dense) matrices. Here, we first discuss the existing methods and present a new approach based on the modified Newton’s ...

MATHICSE2015

Sampling innovations

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Tutorial: Sub-Nyquist artifacts and sampling moiré effects

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

The upgraded Collective Thomson Scattering diagnostics of FTU

Association of PCK1 with Body Mass Index and Other Metabolic Features in Patients With Psychotropic Treatments

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

Method for determining the walsh-hadamard transform of n samples of a signal and apparatus for performing the same

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets

Association of PCK1 with Body Mass Index and Other Metabolic Features in Patients With Psychotropic Treatments

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Method for determining the walsh-hadamard transform of n samples of a signal and apparatus for performing the same

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

The upgraded Collective Thomson Scattering diagnostics of FTU

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets