Abstract
The generalization of one-dimensional (1-D) iterative methods to the 2-D case, in order that 2-D spectral factorization may be iteratively implemented, is considered. The authors have obtained meaningful generalizations of G. Wilson's (1969) and F. Arp's (1985) 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1985-1986 |
| Number of pages | 2 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| State | Published - 1987 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering