Publications associées à Estimating Euclidean Distance to Linearity

Publications associées (9)

Adaptive phase correction of diffusion-weighted images

Jean-Philippe Thiran, Maxime Descoteaux, Marco Pizzolato

Phase correction (PC) is a preprocessing technique that exploits the phase of images acquired in Magnetic Resonance Imaging (MRI) to obtain real-valued images containing tissue contrast with additive Gaussian noise, as opposed to magnitude images which fol ...

2020

Microwave inductive proximity sensors with sub-pm/Hz1/2 resolution

Giovanni Boero, Nergiz Sahin Solmaz, Alessandro Valentino Matheoud

Inductive proximity sensors are low-cost and versatile detectors achieving resolutions in the nm and sub-nm range. Their typical working frequency ranges from tens of kHz to a few MHz. Operation at higher frequencies is considered as a possible route for t ...

2019

Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices

Volkan Cevher, Jonathan Mark Scarlett

We consider the group testing problem, in which one seeks to identify a subset of defective items within a larger set of items based on a number of noisy tests. While matching achievability and converse bounds are known in several cases of interest for i.i ...

Ieee2016

Moments And Growth Indices For The Nonlinear Stochastic Heat Equation With Rough Initial Conditions

Robert Dalang, Le Chen

We study the nonlinear stochastic heat equation in the spatial domain R, driven by space-time white noise. A central special case is the parabolic Anderson model. The initial condition is taken to be a measure on R, such as the Dirac delta function, but th ...

Inst Mathematical Statistics2015

Distinguishing analyte from noise components in mass spectra of complex samples: where to cut the noise?

Yury Tsybin, Anton Kozhinov, Konstantin Zhurov, Luca Fornelli

Fourier transform mass spectrometry (FTMS) enables comprehensive analysis of complex molecular mixtures. Given the broad intensity ranges of components in the mass spectra, it is imperative to accurately determine a noise threshold level above which peak a ...

Amer Chemical Soc2014

PIROCK: a swiss-knife partitioned implicit-explicit orthogonal Runge-Kutta Chebyshev integrator for stiff diffusion-advection-reaction problems with or without noise

Assyr Abdulle, Gilles Vilmart

A partitioned implicit-explicit orthogonal Runge-Kutta method (PIROCK) is proposed for the time integration of diffusion-advection-reaction problems with possibly severely stiff reaction terms and stiff stochastic terms. The diffusion terms are solved by t ...

Elsevier2013

Accurate Internal-External Rotation Measurement in Total Knee Prostheses: a magnetic solution

Kamiar Aminian, Arash Arami, Jenifer Cléa Miehlbradt

In this work we tackled the problem of accurate measurement of internal–external (IE) rotations in the prosthetic knee. We presented a magnetic measurement system to be implanted in the knee prostheses in order to measure IE without soft tissue artifacts. ...

Elsevier2012

Ultrawide Bandwidth Signals as Shot-Noise: a Unifying Approach

Andrea Ridolfi

We present a shot noise based model for a large family of ultrawide bandwidth (UWB) signals. These include time-hopping and direct-sequence signaling with pulse position, interval, and amplitude modulations. Each specific signal is constructed by adding fe ...

Institute of Electrical and Electronics Engineers2006

UWB Signals as Shot Noises

Andrea Ridolfi

We present a shot-noise based model for a large family of ultrawide bandwidth (UWB) signals. These include time-hopping and direct-sequence signaling with pulse position, interval and amplitude modulations. Each specific signal is constructed by adding fea ...

2005