Abstract: An analytic parahermitian matrix admits in almost all cases an eigenvalue decomposition (EVD) with analytic eigenvalues and eigenvectors. We have previously defined a discrete Fourier ...
For large data matrices the method np.linalg.eigh and scipy.linalg.eigh produce different results regarding the eigenvalues. I realize this behaviour only for matrices which have more than 40000 ...
The eigenvalues and eigenvectors of the Fisher information matrix (FIM) can reveal the most and least sensitive directions of a system and it has wide application across science and engineering. We ...
Abstract: This paper gives an overview of matrix transformations for finding rightmost eigenvalues of Ax = λx and Ax = λBx with A and B real non-symmetric and B possibly singular. The aim is not to ...
Let ${\mathrm{Z}}_{{\mathrm{M}}_{1}\times \mathrm{N}}={\mathrm{T}}^{\frac{1}{2}}\mathrm{X}$ where (T½)2 = T is a positive definite matrix and X consists of ...
This is a preview. Log in through your library . Abstract The minimum chi-squared test is obtained for testing the hypothesis that the smallest r eigenvalues of an m × m correlation matrix are equal, ...
ABSTRACT: A simple and fast approach based on eigenvalue similarity metric for Polarimetric SAR image segmentation of Land Cover is proposed in this paper. The approach uses eigenvalues of the ...