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This paper proposes a novel weighted distance metric based on 2D matrices rather than 1D vectors and the eigenvalues for face images classification and recognition. This distance is measured between two feature matrices obtained by two-dimensional principal component analysis (2DPCA) and two-dimensional linear discriminant analysis (2DLDA). The weights are the inverse of the eigenvalues of the total...
This work deals with the fractional order differentiator sm and integrator s-m (0<m<1) and its analogue and numerical implementation. A new method is proposed, first the fractional order differentiator sm (0<m<1) is modeled by a fractional power zero (FPZ), in a given frequency band of practical interest. Next, this FPZ is approximated by a rational function, the same idea is used to model...
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