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Empirical Mode Decomposition (EMD) is a new way to process the non-stationary and nonlinear data. But the edge effect or boundary effect appears when spline interpolation is used to get two envelopes of the data. A novel method based on improved characteristic wave algorithm is proposed to prolong the data series and get extra-extremes to deal with the edge effect. Two simulated signals are decomposed...
This paper presents a one-layer recurrent neural network for solving convex programming problems subject to linear equality and nonnegativity constraints. The number of neurons in the neural network is equal to that of decision variables in the optimization problem. Compared with the existing neural networks for optimization, the proposed neural network has lower model complexity. Moreover, the proposed...
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