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Author Hasan, M.A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Stability analysis ♦ Eigenvalues and eigenfunctions ♦ Principal component analysis ♦ Signal processing ♦ Symmetric matrices ♦ Differential equations ♦ Algorithm design and analysis ♦ Signal processing algorithms ♦ Nonlinear dynamical systems ♦ Standards development
Abstract In this paper generalizations of Sanger's learning rule for nondefinite matrices are explored. It is shown that the left and right principal components of any matrix can be computed so that these components upper triangulize the original matrix. We also modified the original Sanger's system to obtain new dynamical systems with a larger domain of attraction. Stability analysis for several Sanger's type systems for the standard and generalized principal, and minor component analyzers applied to nonsymmetric matrices is developed
Description Author affiliation: Dept. of Electr. & Comput. Eng., Minnesota Duluth Univ., MN (Hasan, M.A.)
ISBN 1424403081
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-07-12
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 156.12 kB
Page Count 5
Starting Page 425
Ending Page 429


Source: IEEE Xplore Digital Library