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Geanakoplos and Sebenius model with noise [PDF]
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A stochastic model for the noise levels
The Journal of the Acoustical Society of America, 2009Accurate predictions of environmental noise levels are necessary to implement noise reduction strategies in urban areas. In this paper, a stochastic model is introduced to describe and predict the Lden, Lday, Levening, and Lnight levels. A Gaussian Ornstein–Uhlenbeck model is used to represent the dynamics of the noise levels, where the mean-reversion ...
A, Giménez, M, González
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On the Markov model of shot noise
Signal Processing, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gregory Kotler +3 more
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Compact modeling of noise in CMOS
IEEE Custom Integrated Circuits Conference 2006, 2006The physical background of the thermal noise equations of the PSP MOSFET model [1] is presented. The PSP thermal noise model is shown to pass a number of proposed benchmark tests for MOSFET thermal noise. Without any fitting parameters, it is shown to predict with great accuracy a collection of experimental data on three modern CMOS technologies.
Andries J. Scholten +3 more
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The Journal of the Acoustical Society of America, 1963
A model of ambient sea noise is developed under the assumption of a surface distribution of noise sources. Volume absorption and the effects of refraction and reflection over long-range paths are included. The derived directional noise field is expressed as a function of vertical arrival angle, with the parameters being velocity profile, surface ...
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A model of ambient sea noise is developed under the assumption of a surface distribution of noise sources. Volume absorption and the effects of refraction and reflection over long-range paths are included. The derived directional noise field is expressed as a function of vertical arrival angle, with the parameters being velocity profile, surface ...
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Procedings of the British Machine Vision Conference 1990, 1990
Models of the sensor noise added in the picture capture process are important components of sensor models for vision systems. Most studies assume that the noise can be described by an additive, independent, identically distributed Gaussian model. This paper presents a test of this hypothesis.
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Models of the sensor noise added in the picture capture process are important components of sensor models for vision systems. Most studies assume that the noise can be described by an additive, independent, identically distributed Gaussian model. This paper presents a test of this hypothesis.
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Underwater noise modelling for environmental impact assessment
Environmental Impact Assessment Review, 2016Paul Thompson +2 more
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