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Hidden Periodicity and Chaos in the Sequence of Prime Numbers
Advances in Mathematical Physics, 2011 Logarithmic gaps have been used in order to find a periodic component of the sequence of prime numbers, hidden by a random noise (stochastic or chaotic).
A. Bershadskii
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Multiplicative noise removal using primal-dual and reweighted alternating minimization. [PDF]
Springerplus, 2016 Wang X, Bi Y, Feng X, Huo L.
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Media Statistika, 2021 The regression model that can be used to model spatial data is Spatial Autoregressive (SAR) model. The level of accuracy of the estimated parameters of the SAR model can be improved, especially to provide better results and can reduce the error rate by ...
Dewi Retno Sari Saputro +2 more
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IET Control Theory & Applications, 2021 This paper studies the stochastic stability of opinion formation systems under both non‐time delay and time delay. Individuals whose opinions are affected by multiplicative noise are considered.
Zhao Zhou +4 more
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Study of optical stochastic solitons of Biswas-Arshed equation with multiplicative noise
AIMS Mathematics, 2023 In many nonlinear partial differential equations, noise or random fluctuation is an inherent part of the system being modeled and have vast applications in different areas of engineering and sciences.
Hamood Ur Rehman +3 more
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Fractal and Fractional, 2021 In this paper, we consider the stochastic fractional-space Chiral nonlinear Schrödinger equation (S-FS-CNSE) derived via multiplicative noise. We obtain the exact solutions of the S-FS-CNSE by using the Riccati equation method. The obtained solutions are
Wael W. Mohammed +4 more
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A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
EURASIP Journal on Advances in Signal Processing, 2010 Multiplicative noise removal is of momentous significance in coherent imaging systems and various image processing applications. This paper proposes a new nonconvex variational model for multiplicative noise removal under the Weberized total variation ...
Zhi-Hui Wei, Li-Li Huang, Liang Xiao
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Collocation Method for Multiplicative Noise Removal Model
Mehran University Research Journal of Engineering and Technology, 2020 Image denoising is a fundamental problem in both image processing and computer vision with numerous applications. It can be formulated as an inverse problem. Variational methods are commonly used to solve noise removal problems.
Mushtaq Ahmad Khan +4 more
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The influence of the noise on the exact solutions of a Kuramoto-Sivashinsky equation
Open Mathematics, 2022 In this article, we take into account the stochastic Kuramoto-Sivashinsky equation forced by multiplicative noise in the Itô sense. To obtain the exact stochastic solutions of the stochastic Kuramoto-Sivashinsky equation, we apply the G′G\frac{{G ...
Albosaily Sahar +4 more
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IEEE Access, 2020 The traditional Cubature Kalman Filter (CKF) and its derived algorithms cannot work without the two hypotheses of Kalman Filter (KF), one is that the system model is accurate and the other is the system is only influenced by independent white noise with ...
J. Liu +6 more
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