In this paper, we present the notion of complex interval matrix. Further, discuss algebraic structure set all $(m\times n)$ matrices by using tools quasilinear functional analysis. Finally, put a norm on space and calculate matrices.

A new method for implementing complex wavelet transform (CWT) based on analog sampled-data circuit and singular value decomposition (SVD) algorithm is presented. To begin with, the real and imaginary parts functions of the complex wavelet base are approximated by using SVD algorithm. As the main advantage of this approximation approach is its computational simplicity and general applicability. ...

By extending the least squares based iterative (LSI) method, this paper presents a decomposition based LSI (D-LSI) algorithm for identifying linear-in-parameters systems and an intervalvarying D-LSI algorithm for handling the identification problems of missing-data systems. The basic idea is to apply the hierarchical identification principle to decompose the original system into two fictitious ...

in this paper, the potential of polarimetric sar data using target decomposition features to detect oil pollutions are evaluated. for this purpose, the values of power, phase and magnitude of all of the polarization channels (hh, vv, hv and vh) and decomposition features i.e. freeman, yamaguchi, vanzyl and krogager are computed. then, to detect oil pollutions, different combinations of these fe...

A new tris-chelate Cd(II) complex, [Cd(DADMBTZ)3](ClO3)2 has been successfully synthesized and characterized by IR, 1H, 13C NMR spectroscopy, elemental analysis and single crystal X-ray determination. The thermal behavior, UV-Vis and fluorescence spectra of compound were studied. In reaction with DADMBTZ, Cadmium (II) forms a tris-chelate complex with nearly C3 symmetry for coordination polyhed...

In the paper is presented a new method for efficient compression of still images, based on the Inverse Difference Pyramid (IDP) decomposition. A special version of the method is developed for the lossless compression of graphics and texts. The method is aimed at secure and flexible transfer of information via Internet. It permits the insertion of multiple digital watermarks in the image phase d...

In this paper, we propose a new task decomposition method, Task Decomposition with Pattern Distributor (PD), for multilayered feedforward neural networks. The method uses a combination of network modules in parallel and series to generate the overall solution for a complex problem. We also introduce a method called reduced pattern training in PD networks. This method aims to improve the perform...

A dimensional decomposition method is presented for calculating the probabilistic characteristics of complex-valued eigenvalues and eigenvectors of linear, stochastic, dynamic systems. The method involves a function decomposition allowing lower-dimensional approximations of eigensolutions, Lagrange interpolation of lower-dimensional component functions, and Monte Carlo simulation. Compared with...