Title :
Reducible polynomials in more than one variable
Author :
Hayes, Monson H. ; McClellan, James H.
Author_Institution :
Georgia Institute of Technology, Atlanta, GA
Abstract :
Polynomials in more than one variable arise frequently in multidimensional signal processing applications. Unlike polynomials in a single variable, multidimensional polynomials cannot, in general, be factored. In this note, it is shown that the set of factorable multi-dimensional polynomials is extremely small in the sense that almost all polynomials in two or more variables are irreducible.
Keywords :
Algebra; Fourier transforms; Laboratories; Multidimensional signal processing; Multidimensional systems; Polynomials;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1982.12262