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This paper proposes the eigen-decomposition template matching. The eigen-decomposition template matching is a method to detect the displacement and the rotational angle accurately between the input and the template image. The proposed method calculates the correlation by matching the images given which is determined by eigen decomposition of the template image to the input image instead of matching...
A statistical modeling method to size concentration is presented based on multi-sensor information fusion and principal component regression analysis. The criteria for selecting principal components are adopted in modeling procedure in which the relation between the signs of regression coefficients and the signs of correlation coefficients is considered as rules for principal component selection....
The recently proposed 2D-CCA is an important method for high dimensional data representation. The mathematical model of 2D-CCA based on pseudoinverse technique is investigated. The computational formulae for 2D-CCA based on pseudoinverse have been derived theoretically. The results of experiments show that the proposed method is effective for the computation of 2D-CCA.
In the ergodic capacity literature, the majority of results preserve the assumption of a flat-fading Gaussian channel. However, the actual wireless channels in current communication systems are often wideband and therefore time dispersive and frequency selective. In this direction, we study the ergodic capacity of a wideband MIMO channel. Starting from a tapped delay line model for the time domain,...
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