Iterative schemes for two-dimensional spectral factorization

This paper considers the generalization of 1-D iterative methods to the 2-D case in order that 2-D spectral factorization may be iteratively implemented. The 2-D Bauer generalization has been proposed by other authors. The authors of this paper have obtained meaningful generalizations of Wilson's and Arp's algorithms. Comparisons of the proposed generalizations bring out the advantages of the 2-D Wilson scheme in terms of guaranteed stability of the spectral factor coupled with accuracy and speed of convergence.