The reduction of computational costs in the numerical solution nonstationary problems is achieved through splitting schemes. In this case, solving a set less computationally complex provides transition to new level time. traditional construction approach schemes based on an additive representation problem operator(s) and uses explicit-implicit approximations for individual terms. Recently (Efen...

This work is based on the comparative study of different decomposition methods used to de-noise an ECG signal. There are several signal processing techniques available like Fourier Transform method, Short Term Fourier Transform method, Wavelet analysis, Empirical Mode of Decomposition method etc. Though Fourier Transform method is predominantly used for decomposition purpose but it is not suita...

In this work, we conduct a comparative study among the combine Laplace transform and modied Adomian decomposition method (LMADM) and two traditional methods for an analytic and approximate treatment of special type of nonlinear Volterra integro-differential equations of the second kind. The nonlinear part of integro-differential is approximated by Adomian polynomials, and the equation is reduce...

Considering the fast respond and high generalization accuracy of the min-max modular support vector machine (M-SVM), we apply M-SVM to solving the gender recognition problem and propose a novel task decomposition method in this paper. Firstly, we extract features from the face images by using a facial point detection and Gabor wavelet transform method. Then we divide the training data set into ...