Publications related to Health effects from noise

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Demetri Psaltis, Christophe Moser, Navid Borhani, Eirini Kakkava, Babak Rahmani, Ugur Tegin

Deep neural networks (DNNs) are employed to recover information after its propagation through a multimode fiber (MMF) in the presence of wavelength drift. The intensity distribution of the speckle patterns generated at the output of an MMF when an input wa ...

2020

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

Sabine Süsstrunk, Majed El Helou

Blind and universal image denoising consists of using a unique model that denoises images with any level of noise. It is especially practical as noise levels do not need to be known when the model is developed or at test time. We propose a theoretically-gr ...

IEEE2020

Modeling of the emittance growth due to decoherence in collision at the Large Hadron Collider

Xavier Buffat, Tatiana Pieloni, Werner Friedrich Herr

The transverse emittance growth rate of colliding hadron beams driven by external sources of noise is investigated based on existing analytical model as well as on macro-particle simulations and comparison to experimental data at the Large Hadron Collider ...

AMER PHYSICAL SOC2020

Development of a plasma electroacoustic actuator for active noise control applications

Ivo Furno, Alan Howling, Hervé Lissek, Pénélope Leyland, Stanislav Sergeev, Gennady Plyushchev

Conventional loudspeakers generate sound through the vibration of a diaphragm, attached to a rigid frame through elastic suspensions. Although such construction is satisfactory for sound diffusion in steady environments, it is likely to fail in harsh condi ...

2020

Phasor-based widefield FLIM using a gated 512×512 single-photon SPAD imager

Edoardo Charbon, Claudio Bruschini, Ivan Michel Antolovic, Arin Can Ülkü

Single-photon avalanche diode (SPAD) imagers can perform fast time-resolved imaging in a compact form factor, by exploiting the processing capability and speed of integrated CMOS electronics. Developments in SPAD imagers have recently made them compatible ...

2019

Functional Data Analysis By Matrix Completion1

Victor Panaretos, Marie-Hélène Descary

Functional data analyses typically proceed by smoothing, followed by functional PCA. This paradigm implicitly assumes that rough variation is due to nuisance noise. Nevertheless, relevant functional features such as time-localised or short scale fluctuatio ...

INST MATHEMATICAL STATISTICS2019

Individual differences in sensory sensitivity: Further lessons from an Autism model

Henry Markram, Kamila Markram, Mônica Regina Favre

In this commentary, we join Ward (this issue) in the usefulness of conceptualizing neural output in terms of signal and noise relationships, to create the missing links between neural, behavioral and subjective sensory sensitivity. We draw from our work in ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2019

Phase Noise Measurements Of Aluminum Scandium Nitride Oscillators

Luis Guillermo Villanueva Torrijo, Marco Liffredo, Andrea Lozzi

This paper presents the first phase noise (PN) measurements of oscillators based on aluminum scandium nitride (AlScN) resonators. 2-port AlScN contour mode resonators (CMR) operating at 195 MHz arc fabricated. A large pool of Q values (ranging from 150 to ...

IEEE2019

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Health effects from noise

Bedload transport: a walk between randomness and determinism. Part 2. Challenges and prospects

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

Modeling of the emittance growth due to decoherence in collision at the Large Hadron Collider

Development of a plasma electroacoustic actuator for active noise control applications

Phasor-based widefield FLIM using a gated 512×512 single-photon SPAD imager

Functional Data Analysis By Matrix Completion1

Individual differences in sensory sensitivity: Further lessons from an Autism model

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

Phase Noise Measurements Of Aluminum Scandium Nitride Oscillators

Graph Chatbot

Chat with Graph Search

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

Bedload transport: a walk between randomness and determinism. Part 2. Challenges and prospects

Individual differences in sensory sensitivity: Further lessons from an Autism model

Modeling of the emittance growth due to decoherence in collision at the Large Hadron Collider

Development of a plasma electroacoustic actuator for active noise control applications

Phasor-based widefield FLIM using a gated 512×512 single-photon SPAD imager

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Functional Data Analysis By Matrix Completion1

Phase Noise Measurements Of Aluminum Scandium Nitride Oscillators

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning