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- Studies of gaussian fractional young
WEBNov 10, 2020 · In the present work, we consider the transmission properties of a Gaussian wavepacket when transmits through few double and multi-slit systems in a fractional medium.
- Author: Mahboubeh Ghalandari, M Solaimani
- Publish Year: 2020
Fractional Young double-slit …
Fractional Young double‐slit numerical experiment with Gaussian wavepackets. …
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WEBNov 10, 2020 · In this work, we have considered the fractional Young double-slit experiment with incident Gaussian wavepackets in numerical treatment. We have …
WEBNov 10, 2020 · In the present work, we consider the transmission properties of a Gaussian wavepacket when transmits through few double and multi-slit systems in a fractional medium.
WEBDEFINITION: FRACTIONAL BROWNIAN MOTION AS MOVING AVERAGE DEFINING A FRACTIONAL INTEGRO-DIFFERENTIAL TRANSFORM OF THE WIENER …
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WEBFractional Young double-slit numerical experiment with Gaussian wavepackets. Article. Full-text available. Nov 2020. Mahboubeh Ghalandari. Mehdi Solaimani. In the present …
WEBNov 10, 2020 · In the present work, we consider the transmission properties of a Gaussian wavepacket when transmits through few double and multi-slit systems in a fractional …
WEBAuthor Correction: Fractional Young double‐slit numerical experiment with Gaussian wavepackets. Mahboubeh Ghalandari & M. Solaimani. Correction to: Scientific Reports …
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WEBJun 29, 2014 · This paper gives a brief introduction to some important fractional and multifractional Gaussian processes commonly used in modelling natural phenomena …
WEBThe fractional Brownian motion (fBm) process is a continuous-time Gaussian process with its increment being the fractional Gaussian noise (fGn). The dynam-ics of fBm and fGn …
Fractional Brownian motion - Wikipedia
WEBFractional Brownian motion has stationary increments X(t) = B H (s+t) − B H (s) (the value is the same for any s). The increment process X(t) is known as fractional Gaussian …
Fractional gaussian noise: Spectral density and estimation …
WEBThe fractional Brownian motion (fBm) process, governed by a fractional parameter H ∈ ( 0 , 1 ) , is a continuous-time Gaussian process with its increment being the fractional …
[1407.5598] Fractional Gaussian fields: a survey - arXiv.org
WEBJul 21, 2014 · We present an overview of fractional Gaussian fields including covariance formulas, Gibbs properties, spherical coordinate decompositions, restrictions to linear …
Gaussian function - Wikipedia
WEBIn mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the base form f ( x ) = exp ( − x 2 ) {\displaystyle f(x)=\exp(-x^{2})} and with parametric …
Fractional Gaussian fields: A survey - Project Euclid
WEBWe present an overview of fractional Gaussian fields including covariance formulas, Gibbs properties, spherical coordinate decompositions, restrictions to linear subspaces, local …
Author Correction: Fractional Young double-slit numerical …
WEBMay 6, 2021 · Author Correction: Fractional Young double-slit numerical experiment with Gaussian wavepackets. Mahboubeh Ghalandari & M. Solaimani. Scientific Reports 11, …
An Introduction to (Stochastic) Calculus with Respect to …
WEBThis survey presents three approaches to (stochastic) integration with respect to fractional Brownian motion. The first, a completely deterministic one, is the Young integral and its …
Persistent homology of fractional Gaussian noise
WEBIn this paper, we employ the persistent homology (PH) technique to examine the topological properties of fractional Gaussian noise (fGn). We develop the weighted natural visibility …
A Fast Fractional Gaussian Noise Generator | Semantic Scholar
WEBThe definition of fast fractional Gaussian noises, as sums of Markov-Gauss and other simple processes, fits the intuitive ideas that climate can be visualized as either …
Mathematics | Free Full-Text | On the Integral of the Fractional
WEBOct 18, 2019 · We investigate the main statistical parameters of the integral over time of the fractional Brownian motion and of a kind of pseudo-fractional Gaussian process, …
Fractional Gaussian kernels - Taylor & Francis Online
WEBMay 8, 2013 · Kernel methods have been popular in machine learning. The Gaussian kernel is a good choice as a basis function. In this paper, a new kernel, the fractional …
Feynman–Kac formula for parabolic Anderson model in Gaussian …
WEBFeb 5, 2024 · In this paper, we establish a Feynman–Kac formula for the stochastic parabolic Anderson model with Gaussian potential in space and fractional white noise …
Fractal Fract | Free Full-Text | Fractional Lévy Stable …
WEB2 days ago · The segmentation analysis of the Golding–Cox mRNA dataset clarifies the description of these trajectories as a Fractional Lévy Stable Motion (FLSM). The FLSM …
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