Publications related to Noise | EPFL Graph Search

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

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

Look, no beacons! Optimal all-in-one EchoSLAM

Martin Vetterli, Ivan Dokmanic, Miranda Krekovic

We study the problem of simultaneously reconstructing a polygonal room and a trajectory of a device equipped with a (nearly) collocated omnidirectional source and receiver. The device measures arrival times of echoes of pulses emitted by the source and pic ...

2016

Quantum rectifier in a one-dimensional photonic channel

By using a fully quantum approach based on an input-output formulation of the stochastic Schrodinger equation, we show rectification of radiation fields in a one-dimensional waveguide doped with a pair of ideal two-level systems for three topical cases: cl ...

Amer Physical Soc2016

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

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation

Volkan Cevher, Andreas Krause, Jonathan Mark Scarlett, Ilija Bogunovic

We present a new algorithm, truncated variance reduction (TruVaR), that treats Bayesian optimization (BO) and level-set estimation (LSE) with Gaussian processes in a unified fashion. The algorithm greedily shrinks a sum of truncated variances within a set ...

2016

Parity-Time Symmetry in Acoustics: Theory, Devices, and Potential Applications

Romain Christophe Rémy Fleury

Parity-time (PT) symmetric systems based on bal- anced distributions of gain and loss have attracted significant attention in wave physics, enabling the possibility of compen- sating material losses in photonic systems, and of inducing ex- ceptional scatte ...

Institute of Electrical and Electronics Engineers2016

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego

This paper addresses the problem of distributed state estimation for linear systems with process and measurement noise, in the case of limited communication data rate, where the data exchanged between agents is quantized. We propose a linear distributed Lu ...

Ieee2016

Comparison of accelerated T1-weighted whole-brain structural-imaging protocols

Jean-Philippe Thiran, Tobias Kober, Bénédicte Marie Maréchal, Reto Meuli, Alexis Roche, Pavel Falkovskiy

Imaging in neuroscience, clinical research and pharmaceutical trials often employs the 3D magnetisation-prepared rapid gradient-echo (MPRAGE) sequence to obtain structural T1-weighted images with high spatial resolution of the human brain. Typical research ...

Academic Press Inc Elsevier Science2016

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

Simultaneous estimation of phase and its pth order derivatives

Pramod Rastogi, Rishikesh Dilip Kulkarni

One unaddressed challenge in optical metrology has been the measurement of higher order derivatives of rough specimens subjected to loading. In this paper, we investigate an approach that allows for the simultaneous estimation of the phase and its higher o ...

2016

Noise

Graph Chatbot

Chat with Graph Search

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

Look, no beacons! Optimal all-in-one EchoSLAM

Quantum rectifier in a one-dimensional photonic channel

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

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation

Parity-Time Symmetry in Acoustics: Theory, Devices, and Potential Applications

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

Comparison of accelerated T1-weighted whole-brain structural-imaging protocols

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Simultaneous estimation of phase and its pth order derivatives

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

Quantum rectifier in a one-dimensional photonic channel

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

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

Parity-Time Symmetry in Acoustics: Theory, Devices, and Potential Applications

Comparison of accelerated T1-weighted whole-brain structural-imaging protocols

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Simultaneous estimation of phase and its pth order derivatives

Look, no beacons! Optimal all-in-one EchoSLAM