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Design of 2-D FIR narrow transition band filters by double transformations using GA approach

机译:利用GA方法通过二次变换设计二维FIR窄过渡带滤波器

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摘要

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.
机译:在这项研究中,子滤波器在具有双重变换的2-D窄过渡带FIR数字滤波器的设计中级联,从宽过渡带子滤波器到1-D窄过渡带滤波器的转换以及从1-D滤波器到McClellan变换到2D滤镜。设计具有窄过渡带的2-D FIR数字滤波器的传统方法会产生很高的阶数。设计和实现的难度将随着订单的增加而增加。与传统设计方法相比,许多相同的低阶子滤波器被级联在一起以简化高阶二维滤波器的设计。提出了一种强大的遗传算法(GA),用于确定McClellan变换的最佳系数。它可以用于设计任意形状的轮廓,以非常有效地将一维映射到二维FIR滤波器。提出了一种广义的McClellan变换,可用于设计二维复数FIR滤波器。给出了各种数值设计实例,以证明所提出方法的有效性和有效性。

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