Optimal synthesis of multidimensional state-space digital filters: a general analysis
Multidimensional Systems and Signal Processing
Linear System Theory and Design
Linear System Theory and Design
A Spatial-Domain Technique for the Design of 3-D Separable-DenominatorState-Space Digital Filters
Multidimensional Systems and Signal Processing
Multidimensional Systems and Signal Processing
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Based on a concept of minimal decomposition and balancedrealization, a novel technique is developed for designing multidimensional(M-D) separable-denominator digital filters inthe spatial domain. This is done by decomposing a desired M-DFIR filter into M parts and by representing it bya cascade connection of M 1-D filters. The minimaldecomposition treated here can be viewed as an extension of thatin 2-D separable-denominator case in some sense. However, theproposed technique differs from the existing one even in 2-Dcase and is simpler. Two numerical examples are also given toillustrate the utility of the proposed technique. The amountof calculation required here is relatively small and the stabilityof the filter is always guaranteed.