Orthogonal Transforms for Digital Signal Processing
Orthogonal Transforms for Digital Signal Processing
Spectral Methods in Logical Data Analysis
Automation and Remote Control
Analytical identification of discrete objects
Automation and Remote Control
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Polynomial factorization of spectral bases is studied, expressing polynomial factorization as the representation of a system of spectral functions defined by an integral discrete transformation matrix in the form of the Kronecker product of matrices of reduced dimension. Such a representation is helpful in expressing an ordered system of functions by a unified formula in a base of binary operations. An algorithm for polynomial factorization of matrices, its theoretical principles, and results of an experiment are presented.