The super requirement of the Fermion matrix treatment etc in space-time performance forces us to explore new computer solving techniques to promote the development of the research.
Blind Source Separation (BSS) or Independent Component Analysis (ICA) are emerging techniques of array processing and data analysis, aiming at recovering unobserved signals from observed mixtures, exploiting only the assumption of mutual independence between the signals.
This paper offers a improved Hestense SVD method, and applies it in Parallel robot influenced coefficient matrix processing, therefore,the parallel robot real-time information processing ability is improved,
We use a transfer-matrix treatment to simplify the algebra, which would be otherwise quite complicated, allowing a neat analytical expressions for the phonon transmission coefficients.
Based on the two-band model, a transfer-matrix treatment of the tunnel conductance and magnetoresistance is presented for tunneling through ferromagnet/insulator (semiconductor) double-junction subjected to dc bias.
We analyze the density profiles with the aid of an analytic expression which we obtain through a transfer-matrix treatment of a one-dimensional effective interface Hamiltonian.