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Design of 2-D FIR narrow transition band filters by double transformations using GA approach
Authors:Kuo-Hsien Yeh  Shian-Tang Tzeng
Affiliation:(1) Department of Computer Science and Information Engineering, Leader University, No. 188 Sec. 5, An-Chung Road, Tainan, 709, Taiwan;(2) Department of Electronic Engineering, Kao Yuan University, No. 1821 Chungshan Road, Luchu Kaohsiung, 821, Taiwan
Abstract:In this investigation, subfilters are cascaded in the design of a 2-D narrow transition band FIR digital filter with double transformations, a transformation from wide transition band subfilter into 1-D narrow transition band filter and a McClellan transformation from 1-D filter into 2-D filter. The traditional method for designing a 2-D FIR digital filter with a narrow transition band yields very high orders. The difficulty of the design and implementation will increase with orders exponentially. Numerous identical low-order subfilters are cascaded together to simplify the design of a high-order 2-D filter compared to traditional design method. A powerful genetic algorithm (GA) is presented to determine the best coefficients of the McClellan transformation. It can be used to design any contours of arbitrary shape for mapping 1-D to 2-D FIR filters very effectively. A generalized McClellan transformation is presented, and can be used to design 2-D complex FIR filters. Various numerical design examples are presented to demonstrate the usefulness and effectiveness of the presented approach.
Contact Information Shian-Tang Tzeng (Corresponding author)Email:
Keywords:Subfilters  Double transformations  McClellan transformation  GA approach
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