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

Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues

Pierre Magistretti, Corrado Cali, Daniya Boges, Madhusudhanan Srinivasan

Advances in the application of electron microscopy (EM) to serial imaging are opening doors to new ways of analyzing cellular structure. New and improved algorithms and workflows for manual and semiautomated segmentation allow us to observe the spatial arr ...

Wiley-Blackwell2016

MATHICSE Technical Report : A continuation multi level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible aerodynamics

Fabio Nobile, Pénélope Leyland, Michele Pisaroni

In this work we apply the Continuation Multi-Level Monte Carlo (C-MLMC) algorithm proposed by [Collier et al, BIT 2014] to efficiently propagate operational and geometrical uncertainties in compressible aerodynamics numerical simulations. The key idea of M ...

MATHICSE2016

The population genomics of rapid adaptation: disentangling signatures of selection and demography in white sands lizards

Jeffrey David Jensen, Susanne Petra Pfeifer, Stefan Jean Laurent, Nicky Louise Ormond

Understanding the process of adaptation during rapid environmental change remains one of the central focal points of evolutionary biology. The recently formed White Sands system of southern New Mexico offers an outstanding example of rapid adaptation, with ...

Wiley-Blackwell2016

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Alcherio Martinoli, Jorge Miguel Dias Almeida Rodrigues Soares, António Pedro Rodrigues de Aguiar

Robotic chemical plume tracing is a growing area of research, with envisioned real-world applications including pollution tracking, search and rescue, and ecosystem identification. However, following a chemical signal in the water is not an easy task due t ...

IEEE2016

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

Alexandre Schmid, Mahsa Shoaran, Mahdad Hosseini Kamal

The present invention relates to a method for compressing signal data of a plurality of biological signals captured by a plurality of implanted measurement devices. The present invention further relates to an implantable sensor configured to carry out said ...

2016

A Forward Regridding Method with Minimal Oversampling for Accurate and Efficient Iterative Tomographic Algorithms

Masih Nilchian, Marco Stampanoni

Reconstruction of underconstrained tomographic data sets remains a major challenge. Standard analytical techniques frequently lead to unsatisfactory results due to insufficient information. Several iterative algorithms, which can easily integrate a priori ...

IEEE2016

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

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

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

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

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

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Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues

MATHICSE Technical Report : A continuation multi level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible aerodynamics

The population genomics of rapid adaptation: disentangling signatures of selection and demography in white sands lizards

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

A Forward Regridding Method with Minimal Oversampling for Accurate and Efficient Iterative Tomographic Algorithms

Random sampling of bandlimited signals on graphs

Generalized Poisson Summation Formula for Tempered Distributions

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

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

The population genomics of rapid adaptation: disentangling signatures of selection and demography in white sands lizards

Generalized Poisson Summation Formula for Tempered Distributions

Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues

MATHICSE Technical Report : A continuation multi level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible aerodynamics

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

A Forward Regridding Method with Minimal Oversampling for Accurate and Efficient Iterative Tomographic Algorithms

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

Random sampling of bandlimited signals on graphs

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

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