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2005•ITC-CSCC :International Technical Conference on Circuits Systems, Computers and CommunicationsRequires access

Design of 2-D State-Space Digital Filters Using a Genetic Algorithm

Sang-Churl Nam, Masahide Abe, Masayuki Kawamata

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Abstract

This paper presents a design method of twodimensional (2-D) state-space digital filters (SSDFs) using a Genetic Algorithm (GA). The design problem of 2-D SSDFs is formulated subject to the constraint that the resultant filters are stable. A stability test routine is also embedded in the design procedure in order to ensure the stability for the resultant filters. Finally an example is given to illustrate the utility of the proposed method.

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What this paper is about

This paper presents a design method of twodimensional (2-D) state-space digital filters (SSDFs) using a Genetic Algorithm (GA). The design problem of 2-D SSDFs is formulated subject to the constraint that the resultant filters are stable. A stability test routine is also embedded in the design procedure in order to ensure the stability for the resultant filters. Finally an example is given to illustrate the utility of the proposed method.

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Available abstract

This paper presents a design method of twodimensional (2-D) state-space digital filters (SSDFs) using a Genetic Algorithm (GA). The design problem of 2-D SSDFs is formulated subject to the constraint that the resultant filters are stable. A stability test routine is also embedded in the design procedure in order to ensure the stability for the resultant filters. Finally an example is given to illustrate the utility of the proposed method.

Key concepts: Stability (learning theory), Constraint (computer-aided design), Genetic algorithm, Digital filter, State (computer science), Algorithm, State space, Computer science

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