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GEOPHYSICS, 2014
Migration and migration inversion are the seismic processing methods for structural determination and subsequent amplitude analysis, respectively. To date, the most well-founded and physically interpretable migration method is based on predicting a coincident source and receiver experiment at depth at time equals zero.
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Migration and migration inversion are the seismic processing methods for structural determination and subsequent amplitude analysis, respectively. To date, the most well-founded and physically interpretable migration method is based on predicting a coincident source and receiver experiment at depth at time equals zero.
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Multiplicative noise and homoclinic crossing: Chaos
Physical Review A, 1990We consider here the effect of noise on homoclinic crossing. It is shown, by means of a stochastic Melnikov function, that the noise may, on the average, suppress and, in the case considered here, induce homoclinic crossing.
, Schieve, , Bulsara
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Multiplicative Noise Protocols
2010Statistical agencies have conflicting obligations to protect confidential information provided by respondents to surveys or censuses and to make data available for research and planning activities. When the microdata themselves are to be released, in order to achieve these conflicting objectives, statistical agencies apply Statistical Disclosure ...
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General transformations from multiplicative noise to additive noise
Physics Letters A, 1984Abstract General transformations from multiplicative noise to additive noise are obtained for systems whose dynamical evolution is given by multidimensional Langevin equations.
J. Masoliver, L. Garrido
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Multiplicative Noise Removal via a Learned Dictionary
IEEE Transactions on Image Processing, 2012Multiplicative noise removal is a challenging image processing problem, and most existing methods are based on the maximum a posteriori formulation and the logarithmic transformation of multiplicative denoising problems into additive denoising problems. Sparse representations of images have shown to be efficient approaches for image recovery. Following
Huang, Yu-Mei +3 more
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Multiple observations and internal noise
The Journal of the Acoustical Society of America, 1987A multiple observation task was used to evaluate models of “internal noise.” On each trial, n tones (n = 1,2,3,4,6,8,10, or 12 within a block) were independently sampled from one of two probability density functions on frequency; each was normal in form with a standard deviation of 100 Hz.
B. G. Berg, D. E. Robinson
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Multiplication Noise in Uniform Avalanche Diodes
IEEE Transactions on Electron Devices, 1966A general expression is derived from which the spectral density of the noise generated in a uniformly multiplying p-n junction can be calculated for any distribution of injected carriers. The analysis is limited to the white noise part of the noise spectrum only, and to diodes having large potential drops across the multiplying region of the depletion ...
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Sparsity-driven multiplicative noise reduction
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017Speckle noise formed in Synthetic Aperture Radar (SAR) images makes visual and automatic analyses complicated. Thus, reducing speckle noise in homogeneous regions while preserving features such as edges and point scatterers is important as a pre-processing step.
Gulay Aksoy, Fatih Nar
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Noise composed of multiplication of two dichotomous noises
Chinese Physics B, 2008In this paper, we introduce a noise which is composed of multiplication of two dichotomous noises, and derive the probability density and the statistical properties of this noise. The obtained results can help study the resonant activation phenomenon, the phenomenon of stochastic resonance, the transport of particles, and the nonequilibrium (phase ...
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A noise estimation method for multiplicative noise removal
Computational and Applied MathematicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bao Chen, Yuchao Tang, Xiaohua Ding
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