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Bicorrelation and random noise attenuation
"... Assuming that noise free autocorrelations or autobicorrelations are available to guide optimization, signal can be recovered from a noise background to some extent. A synthetic example is employed to demonstrate the procedure of noise rejection by signal optimization. Except for noise bursts at hi ..."
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Assuming that noise free autocorrelations or autobicorrelations are available to guide optimization, signal can be recovered from a noise background to some extent. A synthetic example is employed to demonstrate the procedure of noise rejection by signal optimization. Except for noise bursts
Measuring the Noise Attenuation of Shotblasting Helmets
"... Airfed blasting helmets are used in abrasive blasting operations to provide essential face, eye and respiratory protection. BS EN 271: 1995 (equivalent to the European Standard EN 271: 1997), the standard that deals with the construction of blasting helmets, addresses the above matters and also the ..."
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the problem of noise generated by the breathing air supply. However it has no requirements for manufacturers to measure or report the helmet’s ability to attenuate the very high levels of noise generated by the blasting process. The aim of the project was to develop a test method to measure the noise
HARMONIC NOISE ATTENUATION FOR VIBROSEIS DATA
"... Due to nonlinear phenomena and coupling problems, Vibroseis acquisitions often suffer from source signal distortion that can cause a remarkable decrease of the signaltonoise ratio. Such phenomenon can become particularly problematic when slipsweep techniques are adopted in order to improve acqu ..."
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Due to nonlinear phenomena and coupling problems, Vibroseis acquisitions often suffer from source signal distortion that can cause a remarkable decrease of the signaltonoise ratio. Such phenomenon can become particularly problematic when slipsweep techniques are adopted in order to improve
Advances in radial trace domain coherent noise attenuation
"... The radial trace transform, introduced by Jon Claerbout and the Stanford Exploration Project, produces significant separation, in its coordinate space, of reflection signal and coherent noise. This allows effective attenuation of the noise using a variety of ordinary single trace operations in the r ..."
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The radial trace transform, introduced by Jon Claerbout and the Stanford Exploration Project, produces significant separation, in its coordinate space, of reflection signal and coherent noise. This allows effective attenuation of the noise using a variety of ordinary single trace operations
A critical quantity for noise attenuation in feedback systems
 PLoS Comp Bio
"... Feedback modules, which appear ubiquitously in biological regulations, are often subject to disturbances from the input, leading to fluctuations in the output. Thus, the question becomes how a feedback system can produce a faithful response with a noisy input. We employed multiple time scale analysi ..."
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Cited by 7 (0 self)
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analysis, Fluctuation Dissipation Theorem, linear stability, and numerical simulations to investigate a module with one positive feedback loop driven by an external stimulus, and we obtained a critical quantity in noise attenuation, termed as ‘‘signed activation time’’. We then studied the signed
Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise
, 2006
"... This paper studies a difficult and fundamental problem that arises throughout electrical engineering, applied mathematics, and statistics. Suppose that one forms a short linear combination of elementary signals drawn from a large, fixed collection. Given an observation of the linear combination that ..."
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Cited by 496 (2 self)
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that has been contaminated with additive noise, the goal is to identify which elementary signals participated and to approximate their coefficients. Although many algorithms have been proposed, there is little theory which guarantees that these algorithms can accurately and efficiently solve the problem
Short Note Enhanced random noise attenuation
"... Spatial prediction filtering attenuates random noise uncorrelated from trace to trace, while preserving linear, predictable events. The prediction is formulated as a leastsquares problem in either the tx or the fx domain. The methods are casually known as “fx decon ” and “tx decon. ” Although es ..."
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Spatial prediction filtering attenuates random noise uncorrelated from trace to trace, while preserving linear, predictable events. The prediction is formulated as a leastsquares problem in either the tx or the fx domain. The methods are casually known as “fx decon ” and “tx decon. ” Although
Uncertainty Calculation for Hearing Protector Noise Attenuation
"... Measurements by REAT Method The objective of this paper is to quantify the uncertainty of hearing protector attenuation measurements and present the metrology study necessary for the accreditation of the ..."
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Measurements by REAT Method The objective of this paper is to quantify the uncertainty of hearing protector attenuation measurements and present the metrology study necessary for the accreditation of the
Short Note Theoretical aspects of noise attenuation
"... In Guitton (2001) I presented an efficient algorithm that attenuates coherent noise based on the spatial predictability of noise and signal. I called this algorithm the subtraction method. In this paper I show that the subtraction approach is closely related to another described method, ..."
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In Guitton (2001) I presented an efficient algorithm that attenuates coherent noise based on the spatial predictability of noise and signal. I called this algorithm the subtraction method. In this paper I show that the subtraction approach is closely related to another described method,
Noise Attenuation in the ON and OFF States of Biological Switches
"... ABSTRACT: Biological switches must sense changes in signal concentration and at the same time buffer against signal noise. While many studies have focused on the response of switching systems to noise in the ON state, how systems buffer noise at both ON and OFF states is poorly understood. Through ..."
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ABSTRACT: Biological switches must sense changes in signal concentration and at the same time buffer against signal noise. While many studies have focused on the response of switching systems to noise in the ON state, how systems buffer noise at both ON and OFF states is poorly understood. Through
Results 1  10
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147,550