Sentence examples for method and spectral from inspiring English sources

In the proposed NC-spectral clustering, the nearest correlation (NC) method and spectral clustering are integrated.

In the present work, a new clustering method, referred to as NC-spectral clustering, is proposed by integrating the nearest correlation (NC) method and spectral clustering.

In the present work, a new correlation-based clustering method, referred to as NC-spectral clustering, is proposed by integrating the nearest correlation (NC) method and spectral clustering.

This paper presents a hybrid method that combines the B-spline wavelet on the interval (BSWI) finite element method and spectral analysis based on fast Fourier transform (FFT) to study wave propagation in One-Dimensional (1D) structures.

In this paper, we have proposed a new numerical method for the time-fractional telegraph equation with convergence order (mathcal {O} tau^{2-alpha}+N^{1-omega})) in (H_{1})-nO} tau^{2-alpha}+N^{1-omega}ized finite difference methO} tau^{2-alpha}+N^{1-omega}hod, and we have rinorously proved tH_{stability and convergence of this method.

Although the sequence method and spectral techniques based on Fast Fourier Transformation (FFT) are established methods of BRS determination they are hampered by the fact that sufficient frequency resolution can only be achieved using long data segments of more than 10 minutes [17], [18].

At present, finite difference scheme (FDS), finite element method (FEM), finite volume element method (FVEM), and spectral method are considered to be four well-known numerical methods.

The results of conventional MP methods and spectral analysis methods are, respectively, shown in (a) and (b) for better readability.

Using non-destructive NMR methods and spectral peak assignments, however, a prominent proton NMR peak was identified as Cr in bovine milk (Hu et al. 2004), thus leaving no doubt that Cr is a genuine chemical constituent in fresh milk.

We study spectral-Galerkin methods (SGM) and spectral collocation methods (SCM) for parameter-dependent problems, where the Fourier sine functions are used as the basis functions.

The two most commonly employed algorithms used in the simulation of fractional Brownian motion are midpoint displacement methods [23] and spectral synthesis methods [23], [24].