Results 1 - 10 of 15,223

Noise levels in dental schools

by J. C. Sampaio Fern, A. P. O. Carvalho, M. Gallas, P. Vaz, P. A. Matos
"... Objective: To measure and analyse noise levels in the learn- ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Objective: To measure and analyse noise levels in the learn-

NOISE LEVELS

by Rainer Guski
"... a step change of aircraft noise in residential areas ..."
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a step change of aircraft noise in residential areas

Noise Level

by Ryan D. Jones, Joyce J. Repa, David W. Russell, John M. Dietschy, Stephen D. Turley , 1971
"... Delineation of biochemical, molecular, and physiological changes accompanying bile acid pool size restoration in Cyp7a1/ mice fed low ..."
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Delineation of biochemical, molecular, and physiological changes accompanying bile acid pool size restoration in Cyp7a1/ mice fed low

NOISE LEVEL:

by unknown authors
"... and distributed by www. hparchive.com Please visit us on the web! On-line curator: Daniel Sheen} l~" ..."
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and distributed by www. hparchive.com Please visit us on the web! On-line curator: Daniel Sheen} l~"

Noise Level Mr. Signal

by unknown authors
"... • NOISE limits the minimum signal level that a circuit can process with acceptable quality. Can you identify the signal buried in the noise? How does the minimal signal must be with respect to the noise level? ..."
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• NOISE limits the minimum signal level that a circuit can process with acceptable quality. Can you identify the signal buried in the noise? How does the minimal signal must be with respect to the noise level?

Nonlinear total variation based noise removal algorithms

by Leonid I. Rudin, Stanley Osher, Emad Fatemi , 1992
"... A constrained optimization type of numerical algorithm for removing noise from images is presented. The total variation of the image is minimized subject to constraints involving the statistics of the noise. The constraints are imposed using Lagrange multipliers. The solution is obtained using the g ..."
Abstract - Cited by 2271 (51 self) - Add to MetaCart
A constrained optimization type of numerical algorithm for removing noise from images is presented. The total variation of the image is minimized subject to constraints involving the statistics of the noise. The constraints are imposed using Lagrange multipliers. The solution is obtained using

Adaptive noise level estimation

by Chunghsin Yeh, Axel Röbel - in Workshop on Computer Music and Audio Technology(WOCMAT’06 , 2006
"... The topic of this article is the estimation of the colored noise level in audio signals with mixed noise and sinusoidal components. The noise envelope model is based on the assumptions that the envelope varies only slowly with frequency and that the noise amplitudes obey a Rayleigh distribution. The ..."
Abstract - Cited by 10 (5 self) - Add to MetaCart
The topic of this article is the estimation of the colored noise level in audio signals with mixed noise and sinusoidal components. The noise envelope model is based on the assumptions that the envelope varies only slowly with frequency and that the noise amplitudes obey a Rayleigh distribution

GEOSCOPE station noise levels

by Eléonore Stutzmann, Luciana Astiz - Bull. seismol. Soc. Am , 2000
"... Abstract The noise level at GEOSCOPE seismograph stations operating in 1995 has been studied in order to quantify the quality of stations for periods ranging from 0.2 to 8000 sec. The power spectral density curves presented in this article are a useful tool for selecting stations as a function of si ..."
Abstract - Cited by 6 (1 self) - Add to MetaCart
Abstract The noise level at GEOSCOPE seismograph stations operating in 1995 has been studied in order to quantify the quality of stations for periods ranging from 0.2 to 8000 sec. The power spectral density curves presented in this article are a useful tool for selecting stations as a function

Stable recovery of sparse overcomplete representations in the presence of noise

by David L. Donoho, Michael Elad, Vladimir N. Temlyakov - IEEE TRANS. INFORM. THEORY , 2006
"... Overcomplete representations are attracting interest in signal processing theory, particularly due to their potential to generate sparse representations of signals. However, in general, the problem of finding sparse representations must be unstable in the presence of noise. This paper establishes t ..."
Abstract - Cited by 460 (22 self) - Add to MetaCart
that the overcomplete system is incoherent, it is shown that the optimally sparse approximation to the noisy data differs from the optimally sparse decomposition of the ideal noiseless signal by at most a constant multiple of the noise level. As this optimal-sparsity method requires heavy (combinatorial) computational

Link-level Measurements from an 802.11b Mesh Network

by Daniel Aguayo, John Bicket, Sanjit Biswas, Glenn Judd, Robert Morris - In SIGCOMM , 2004
"... This paper anal yzes the causes of packetl oss in a 38-node urban mul ti-hop 802.11b network. The patterns and causes oflv# are important in the design of routing and errorcorrection proto colv as wel as in networkplqq"(v The paper makes the fol l owing observations. The distribution of inter-n ..."
Abstract - Cited by 567 (11 self) - Add to MetaCart
scal e. Sign al to-noise ratio and distance have lv tl e predictive val e forl oss rate. Thel arge number of lv ks with intermediate l oss rates is probabl y due to mul ti-path fading rather than attenuation or interference. The phenomena discussed here are al l wel l -known. The contributions
Results 1 - 10 of 15,223