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SSRN 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
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Image Blind Denoising with Generative Adversarial Network Based Noise Modeling
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018In 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
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Stable recovery of sparse overcomplete representations in the presence of noise
IEEE Transactions on Information Theory, 2006Overcomplete representations are attracting interest in signal processing theory, particularly due to their potential to generate sparse representations of signals.
D. Donoho, Michael Elad, V. Temlyakov
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Journal of the Acoustical Society of America, 1994
A large set of sentence materials, chosen for their uniformity in length and representation of natural speech, has been developed for the measurement of sentence speech reception thresholds (sSRTs).
Michael Nilsson, S. Soli, J. Sullivan
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A large set of sentence materials, chosen for their uniformity in length and representation of natural speech, has been developed for the measurement of sentence speech reception thresholds (sSRTs).
Michael Nilsson, S. Soli, J. Sullivan
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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 ...
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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 ...
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Generative Adversarial Networks for Noise Reduction in Low-Dose CT
IEEE Transactions on Medical Imaging, 2017Noise is inherent to low-dose CT acquisition. We propose to train a convolutional neural network (CNN) jointly with an adversarial CNN to estimate routine-dose CT images from low-dose CT images and hence reduce noise.
J. Wolterink +3 more
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Classification in the Presence of Label Noise: A Survey
IEEE Transactions on Neural Networks and Learning Systems, 2014Label noise is an important issue in classification, with many potential negative consequences. For example, the accuracy of predictions may decrease, whereas the complexity of inferred models and the number of necessary training samples may increase ...
Benoît Frénay, M. Verleysen
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A synthesis of two decades of research documenting the effects of noise on wildlife
Biological Reviews of The Cambridge Philosophical Society, 2016Global increases in environmental noise levels – arising from expansion of human populations, transportation networks, and resource extraction – have catalysed a recent surge of research into the effects of noise on wildlife.
G. Shannon +11 more
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Is It Possible To Suppress Noise By Noise In Semiconductors?
AIP Conference Proceedings, 2005We investigate the possibility to suppress the diffusion noise in semiconductor bulk materials by adding to the constant electric field a fluctuating contribution characterized by a gaussian distribution and a characteristic time. The general theory is applied to the specific cases of Si and GaAs and investigated by Monte Carlo simulations.
Varani, L. +8 more
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Noise modeling, noise experiment, and noise inversion
The Journal of the Acoustical Society of America, 2005Recent developments in inverting ambient noise to obtain bottom reflection properties originated from an understanding of noise behavior and from noise modeling. Sea-surface noise can be modeled equivalently as a ray, wave, or mode phenomenon, but often the ray or flux approach provides the most insight (explaining, e.g., the noise-notch or low ...
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