Results 81 to 90 of about 164,359 (189)
Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms [PDF]
Journal of Advances in Computer Engineering and Technology, 2015 Neural networks are applicable in identification systems from input-output data. In this report, we analyze theHammerstein-Wiener models and identify them.
Maryam Ashtari Mahini +2 more
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Restoration of Videos Degraded by Local Isoplanatism Effects in the Near-Infrared Domain
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2009 When observing a scene horizontally at a long distance in the near-infrared domain, degradations due to atmospheric turbulence often occur. In our previous work, we presented two hybrid methods to restore videos degraded by such local perturbations ...
Magali Lemaitre +3 more
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Paley–Wiener Theorems for Hyperbolic Spaces
Journal of Functional Analysis, 2001 Let \(\mathbb{X}=\mathbb{X}_{p,q}\) be the hyperboloid \(\langle x,y \rangle=1\) in \(\mathbb{R}^{p+q}\), where \(\langle x,y\rangle=x_1 y_1+\cdots +x_py_q-x_{p+1} y_{p+1}- \cdots-x_{p+q} y_{p+q}\). It is a homogeneous space \(G/H\), where \(G=SO_0 (p,q)\) and \(H=SO_0 (p-1,q)\).
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A Series Approximation for the Analytic Fourier–Feynman Transform on Wiener Space
AxiomsIn this paper, we first establish an evaluation formula to calculate Wiener integrals of functionals on Wiener space. We then apply our evaluation formula to carry out easy an calculation for the analytic Fourier–Feynman transform of the functionals ...
Hyun Soo Chung
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Journal of Control Science and Engineering, 2016 This paper deals with the parameter estimation problem for multivariable nonlinear systems described by MIMO state-space Wiener models. Recursive parameters and state estimation algorithms are presented using the least squares technique, the adjustable ...
Houda Salhi, Samira Kamoun
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On a space of entire functions rapidly decreasing on Rn and its Fourier transform
Concrete Operators, 2015 A space of entire functions of several complex variables rapidly decreasing on Rn and such that their growth along iRn is majorized with the help of a family of weight functions is considered in this paper.
Musin Il’dar Kh.
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Nonlinear Transformations on the Wiener Space
The Annals of Probability, 1993 The author studies transformations on an abstract Wiener space \((E, H, \mu)\) which have the form \[ E\ni w\to S(w)= w- \int^ T_ 0 \varphi_ t (w) Z(dt)\in E, \] where \(\varphi_ t(w)\) is a scalar function on \([0,T]\times E\) and \(Z\) is an orthogonal \(H\)-valued measure.
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On the Carleman classes of vectors of a scalar type spectral operator
International Journal of Mathematics and Mathematical Sciences, 2004 The Carleman classes of a scalar type spectral operator in a reflexive Banach space are characterized in terms of the operator's resolution of the identity. A theorem of the Paley-Wiener type is considered as an application.
Marat V. Markin
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WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification
Complexity, 2018 Current methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein model. Second, a refitting procedure of
J. Zambrano +3 more
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