We discuss a multilinear generalization of the singular value decomposition. There is a strong analogy between several properties of the matrix and the higher-order tensor decomposition; uniqueness, link with the matrix eigenvalue decomposition, fir
powerful set of techniques for dealing with sets of equations or matrices. In many cases where Gaussian elimination and LU decomposition fail to give satisfactory results, this set of techniques, known as singular value decomposition, or SVD, will d
A robust image watermarking scheme in which a binary image is embedded in the singular values of selected DWT blocks in the horizontal and vertical sub-bands of a 1-level decomposition of a gray-scale image is proposed. The embedded blocks are selec
Klein-Gordon Bound States in Coulombic Vector and Scalar Singular Potentials with Nonvanishing Centrifugal Effect，田文杰，，This paper analyzes Klein-Gordon bound states with the direct coupling of Coumlombic vector and scalar singular potentials, viz V(r
Performed in this work are complex statistical, fractal and singular analyses of phase properties inherent to birefringence networks of protein crystals consisting of optically-thin layers prepared from blood plasma. Within the framework of a statist
The results of singular approach usage in the tasks of descr iption and classification of appearance of optical anisotropy of different types of phase-inhomogeneous biological layers (surfacescattering, optically thin and optically thick) have been p
We have theoretically designed and experimentally observed free-space propagation of topological singular lines of cylindrical vector optical fields with non-integer topological charges. The polarization singular lines are due to the orientation unce
