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CCE Faculty Articles
A Subspace Algorithm for Identifying 2-D Separable in Denominator Filters
Document Type
Article
Publication Title
IEEE Transactions on Circuits and Systems - II Analog and Digital Signal Processing
ISSN
1057-7130
Publication Date
1-1994
Abstract
An this paper, we extend the 1-D linear subspace identification algorithm to the class of 2-D causal, recursive, and separable in denominator filters (CRSD). The new 2-D subspace identification algorithm uses the inputloutput data directly to identify the system matrices, while classical algorithms first deconvolve the impulse response and then perform a realization step to obtain the system matrices. The identified models are in balanced form, which makes the 2-D subspace algorithm directly comparable to Hankel-based methods. Other advantages of the subspace algorithm are the automatic structure identification (system order), geometrical insights (notions of angle between subspaces), and the fact that it relies on robust numerical procedures (singular value decomposition).
Volume
41
Issue
1
First Page
63
Last Page
67
NSUWorks Citation
Ramos, Jose A., "A Subspace Algorithm for Identifying 2-D Separable in Denominator Filters" (1994). CCE Faculty Articles. 425.
https://nsuworks.nova.edu/gscis_facarticles/425