Publications related to Influence of loading history on mechanical properties of biomaterials

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

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 s ...

2017

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Matthieu Martin Jean-André Simeoni

Estimating intensity fields of stochastic phenomenons is of crucial interest in many scientific applications. Typical experimental setups involve an acquisition system, that subsequently filters and samples the probed intensity field. This equivalently def ...

2016

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 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

Generalized Poisson Summation Formula for Tempered Distributions

Michaël Unser, Quy Ha Nguyen

The Poisson summation formula (PSF), which relates the sampling of an analog signal with the periodization of its Fourier transform, plays a key role in the classical sampling theory. In its current forms, the formula is only applicable to a limited class ...

IEEE2015

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations

Daniel Kressner, Christine Tobler

This paper is concerned with the numerical solution of symmetric large-scale Lyapunov equations with low-rank right-hand sides and coefficient matrices depending on a parameter. Specifically, we consider the situation when the parameter dependence is suffi ...

Wiley-Blackwell2013

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

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 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

Influence of loading history on mechanical properties of biomaterials

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Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Shapes from Pixels

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Random sampling of bandlimited signals on graphs

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

Generalized Poisson Summation Formula for Tempered Distributions

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations

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

On Sampling and Coding for Distributed Acoustic Sensing

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

On Sampling and Coding for Distributed Acoustic Sensing

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

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Shapes from Pixels

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Random sampling of bandlimited signals on graphs

Generalized Poisson Summation Formula for Tempered Distributions

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

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

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations