Results 11 to 20 of about 115,523 (316)
Ermakov Systems with Multiplicative Noise [PDF]
Using the Euler-Maruyama numerical method, we present calculations of the Ermakov-Lewis invariant and the dynamic, geometric, and total phases for several cases of stochastic parametric oscillators, including the simplest case of the stochastic harmonic ...
Cervantes-Lopez, E. +3 more
core +3 more sources
Power-law tails from multiplicative noise [PDF]
We show that the well-known Langevin equation, modeling the Brownian motion and leading to a Gaussian stationary distribution of the corresponding Fokker-Planck equation, is changed by the smallest multiplicative noise.
A. Rényi +5 more
core +3 more sources
Mapping multiplicative to additive noise [PDF]
The Langevin formulation of a number of well-known stochastic processes involves multiplicative noise. In this work we present a systematic mapping of a process with multiplicative noise to a related process with additive noise, which may often be easier
Pavliotis, Grigorios A. +2 more
core +2 more sources
On Nonlinear Diffusion with Multiplicative Noise
4 pages, LaTeX, text and figures also available at http://matisse.ucsd.edu ...
Miguel A. Muñoz, Terence Hwa
openalex +3 more sources
Recent results on multiplicative noise [PDF]
Some improvements respect to the first ...
Walter Genovese, Miguel A. Muñoz
openalex +5 more sources
SYNCHRONIZATION OF SYSTEMS WITH MULTIPLICATIVE NOISE [PDF]
The synchronization of Stratonovich stochastic differential equations (SDE) with a one-sided dissipative Lipschitz drift and linear multiplicative noise is investigated by transforming the SDE to random ordinary differential equations (RODE) and synchronizing their dynamics.
Kloeden, Peter E. +2 more
openaire +5 more sources
Exact moment scaling from multiplicative noise [PDF]
4 pages, 3 figures. Final version accepted for publication on Phys. Rev.
BORMETTI, GIACOMO, Delpini, Danilo
openaire +5 more sources
An Additive Approximation to Multiplicative Noise [PDF]
Multiplicative noise models are often used instead of additive noise models in cases in which the noise variance depends on the state. Furthermore, when Poisson distributions with relatively small counts are approximated with normal distributions, multiplicative noise approximations are straightforward to implement. There are a number of limitations in
R. Nicholson, J. P. Kaipio
openaire +2 more sources
The impact of internal noise on the performance of convolutional neural network [PDF]
Purpose. This study aims to establish the characteristics of noise propagation and accumulation in convolutional neural networks. The article investigates how the accuracy of a trained convolutional network varies depending on the type and intensity of ...
Semenova, Nadezhda Igorevna
doaj +1 more source
Time-scale analysis of abrupt changes corrupted by multiplicative noise [PDF]
Multiplicative Abrupt Changes (ACs) have been considered in many applications. These applications include image processing (speckle) and random communication models (fading).
Castanié, Francis +2 more
core +2 more sources

