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.