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In this paper we propose an alternative ℓ1 regularization approach for electron tomography based on higher order total variation (HOTV).
The basic formulation is based on higher order shear deformation theory (HSDT) with von-Karman nonlinear strain kinematic.
Improved solutions based on higher order models are discussed showing the potential of the method for further developments.
A new method for the estimation of the effective anisotropic relaxation behavior based on higher order normalization schemes is introduced.
In this paper, an adaptive algebraic observer is proposed for a Polymer Electrolyte Membrane Fuel Cell (PEMFC) air-feed system, based on Higher Order Sliding Mode (HOSM) differentiators.
These effects have important implications for the development of extrapolation methods based on higher order symmetric methods for the numerical solution of stiff problems.
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The analytical formulation based on Higher- Order Shear Deformation Theory (HSDT) accounts for both the shear deformation and thickness stretching effect by a sinusoidal variation of the displacement field across the thickness.
Therefore, we introduce a new method for SNR estimation based on higher-order signal statistics.
The signal processing nucleus is based on higher-order statistics, introducing the Spectral Kurtosis as an online assessment.
A Co shear flexible Quad-8 element developed based on higher-order structural theory is employed for the present study.
In this article, a non-intrusive approach to classify electrical appliances based on higher-order statistics (HOS) is proposed.
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