Results 291 to 300 of about 2,763,116 (335)

Acoustic Metamaterials for Noise Reduction: A Review

Advanced Materials & Technologies, 2022
Noise pollution has become a significant global problem in recent years. Unfortunately, conventional acoustic materials cannot offer substantial improvements in noise reduction.
Nansha Gao   +5 more
semanticscholar   +1 more source

Quantum Noise

Theoretical Foundations of Nanoscale Quantum Devices, 2020
Recognizing the quirk ways to acquire this books Quantum Noise A Handbook Of Markovian And Non Markovian Quantum Stochastic Methods With Applications To Quantum Optics Springer Series In Synergetics is additionally useful. You have remained in right site

semanticscholar   +1 more source

Tracking noise in noise.

The Journal of the Acoustical Society of America, 2011
Very often one wants to track one type of noise embedded in another noise. In addition, the noises may be nonstationary. For example, suppose one wants to track in time and or space a reverberation type noise that is embedded in an background ambient noise.
Leon Cohen, Lorenzo Galleani
openaire   +2 more sources

There Is “Noise,” and Noise

Perspectives on Science, 2017
What is noise? Common sense tells us it is a disturbance, an invasion of our perceptual space, a nuisance.
openaire   +2 more sources

Noise Traders [PDF]

open access: possibleSSRN Electronic Journal, 2006
Noise traders are agents whose theoretical existence has been hypothesized as a way of solving certain fundamental problems in Financial Economics. We briefly review the literature on noise traders. The is an entry for The New Palgrave: A Dictionary of Economics, 2nd Edition (Palgrave Macmillan: New York), edited by Steven N.
James Dow, Gary Gorton
openaire   +1 more source

Image Blind Denoising with Generative Adversarial Network Based Noise Modeling

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
In this paper, we consider a typical image blind denoising problem, which is to remove unknown noise from noisy images. As we all know, discriminative learning based methods, such as DnCNN, can achieve state-of-the-art denoising results, but they are not
Jingwen Chen   +3 more
semanticscholar   +1 more source

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation

European Conference on Computer Vision, 2020
Real-world image noise removal is a long-standing yet very challenging task in computer vision. The success of deep neural network in denoising stimulates the research of noise generation, aiming at synthesizing more clean-noisy image pairs to facilitate
Zongsheng Yue   +3 more
semanticscholar   +1 more source

Low-noise noise

The Journal of the Acoustical Society of America, 1985
A practical method of computation is described for making periodic signals V(t) which have a given frequency spectrum and which minimize the variance 〈(V2−〈V〉2)2〉 in power as a function of time. These signals can be used to measure the spectral response of a system (the transfer function): They represent a significant improvement over traditional ...
openaire   +2 more sources

The Concept of Noise

Angelaki, 1986
"Noise" is a term we are using to describe a complex and distressing aspect of the bodily and cognitive experience of many very ill psychiatric patients. By "noise," we mean an internally experienced state of crowding and confusion created by a variety of stimuli, the quantity, intensity and unpredictability of which make it difficult for individuals ...
Steven Sands, John J. Ratey
openaire   +3 more sources

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