Results 51 to 60 of about 53,281 (190)
Performance of Modal Signaling vs. medium dielectric variability [PDF]
, 2012 This paper addresses the feasibility of the so-called Modal Signaling (MS) transmission scheme from a stochastic viewpoint. MS has been proposed for crosstalk mitigation over interconnects and is based on the encoding of signals onto fundamental ...
Canavero, Flavio +2 more
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Polynomial chaos expansions for damped oscillators
, 2015 Uncertainty quantification is the state-of-the-art framework dealing with uncertainties arising in all kind of real-life problems. One of the framework’s functions is to propagate uncertainties from the stochastic input factors to the output quantities of interest, hence the name uncertainty propagation.
Mai, Chu V., Sudret, Bruno
openaire +2 more sources
Polynomial Chaos Expansion Approach to Interest Rate Models
Journal of Probability and Statistics, 2015 The Polynomial Chaos Expansion (PCE) technique allows us to recover a finite second-order random variable exploiting suitable linear combinations of orthogonal polynomials which are functions of a given stochastic quantity ξ, hence acting as a kind of ...
Luca Di Persio +2 more
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Compressive sensing adaptation for polynomial chaos expansions
, 2018 Basis adaptation in Homogeneous Chaos spaces rely on a suitable rotation of the underlying Gaussian germ. Several rotations have been proposed in the literature resulting in adaptations with different convergence properties.
Ghanem, Roger G. +7 more
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An Efficient Polynomial Chaos Method for Stiffness Analysis of Air Spring Considering Uncertainties
Complexity, 2021 Traditional methods for stiffness analysis of the air spring are based on deterministic assumption that the parameters are fixed. However, uncertainties have widely existed, and the mechanic property of the air spring is very sensitive to these ...
Feng Kong, Penghao Si, Shengwen Yin
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Time-Dependent Reliability-Based Design Optimization Utilizing Nonintrusive Polynomial Chaos
Journal of Applied Mathematics, 2013 Time-dependent reliability-based design optimization (RBDO) has been acknowledged as an advance optimization methodology since it accounts for time-varying stochastic nature of systems. This paper proposes a time-dependent RBDO method considering both of
Yao Wang, Shengkui Zeng, Jianbin Guo
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Polynomial chaos forward models in Bayesian inference to solve inverse problems [PDF]
, 2011 In this paper we introduce polynomial chaos in the stochastic forward model used to solve the inverse problem through Bayesian inference. We validate our approach with three different methods that construct the stochastic forward model, to treat the TEAM
Beddek, Karim +4 more
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Shock and Vibration, 2016 For the frequency response analysis of acoustic field with random and interval parameters, a nonintrusive uncertain analysis method named Polynomial Chaos Response Surface (PCRS) method is proposed.
Mingjie Wang, Zhimin Wan, Qibai Huang
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A Class of Quadratic Polynomial Chaotic Maps and Their Fixed Points Analysis
Entropy, 2019 When chaotic systems are used in different practical applications, such as chaotic secure communication and chaotic pseudorandom sequence generators, a large number of chaotic systems are strongly required.
Chuanfu Wang, Qun Ding
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Uncertainty through polynomial chaos in the EEG problem [PDF]
, 2011 A sensitivity and correlation analysis of EEG sensors influenced by uncertain conductivity is conducted. We assume a three layer spherical head model with different and random layer conductivities. This randomness is modeled by Polynomial Chaos (PC).
De Staelen, Rob
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