Publications related to Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

Design of Remote Quiet Zones Using Spot-Type Sound Reducers

Hervé Lissek, Romain Boulandet, Thomas Laurence

This paper presents a local control approach to generate remote quiet zones. To deal with situations where global control can hardly be achieved, it is proposed to use an arrangement of spot-type sound reducers as originally suggested by Olson and May. Ass ...

2017

Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T

Rolf Gruetter, Wietske Van der Zwaag, José Pedro Rebelo Ferreira Marques, João Pedro Forjaco Jorge, Olivier Benoit Thomas Reynaud

Physiological noise often dominates the blood-oxygen level-dependent (BOLD) signal fluctuations in high-field functional MRI (fMRI) data. Therefore, to optimize fMRI protocols, it becomes crucial to investigate how physiological signal fluctuations impact ...

Wiley-Blackwell2017

Spatial dependence of body mass index and exposure to night-time noise in the Geneva urban area

Jérôme Chenal, Stéphane Joost, Idris Guessous, Andrea Salmi

In this study, we calculated the night-noise mean (SonBase 2014, compatible with the EU Environmental Noise Directive) for the 5 classes obtained after computation of Local Indicators of Spatial Association (LISA; Anselin et al 1995) on the BMI of the part ...

2017

A method for reducing noise in measurements taken by a distributed sensor

Marcelo Alfonso Soto Hernandez

According to the present invention there is provided a method of sensing comprising the steps of, (a) acquiring plurality of measurement values using a distributed optical fibre sensor; (b) arranging the plurality of measurement values in a matrix having a ...

2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

An analysis of a gyro-free inertial system for INS/GNSS navigation

Davide Antonio Cucci, Mehran Khaghani

Although the concept of determining angular velocity out of the readings of multiple, displaced accelerometers is not new, apparently it has not yet matured into practical technologies. A new generation of low-cost MEMS accelerometers, which is expected to ...

IEEE2016

Novel Concepts and Recent Progress in Distributed Optical Fiber Sensing

Luc Thévenaz, Marcelo Alfonso Soto Hernandez

Recent techniques open new perspectives for distributed fiber sensing. Pulse coding and multi-dimensional denoising methods result in a >10 dB noise reduction with minor modifications of the experimental layout. ...

OSA2016

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

Volkan Cevher, Jonathan Mark Scarlett

Linear sketching is a powerful tool for the problem of sparse signal recovery, having numerous applications such as compressive sensing, data stream computing, graph sketching, and routing. Motivated by applications where the \emph{positions} of the non-ze ...

2016

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite-dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

2015

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

MATHICSE2015

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

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Design of Remote Quiet Zones Using Spot-Type Sound Reducers

Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T

Spatial dependence of body mass index and exposure to night-time noise in the Geneva urban area

A method for reducing noise in measurements taken by a distributed sensor

Sampling and Reconstruction of Shapes with Algebraic Boundaries

An analysis of a gyro-free inertial system for INS/GNSS navigation

Novel Concepts and Recent Progress in Distributed Optical Fiber Sensing

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

A method for reducing noise in measurements taken by a distributed sensor

Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Design of Remote Quiet Zones Using Spot-Type Sound Reducers

Spatial dependence of body mass index and exposure to night-time noise in the Geneva urban area

Novel Concepts and Recent Progress in Distributed Optical Fiber Sensing

An analysis of a gyro-free inertial system for INS/GNSS navigation

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices