FIR滤波器设计:基于免疫算法的频率抽样技术

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Abstract In this paper an application of Immune Algorithm (IA) to frequency sampling technique in FIR digital filter design is presented. Two examples of lowpass and highpass FIR filter are provided. Experimental data have shown that the value of transition band sample obtained by IA can be ensured to be optimal and the frequency characteristic of the filter is improved. The comparison is made between IA and Genetic Algorithm (GA) in the application, and the convergence speed of IA is faster than that of GA.

Key words： Immune algorithm FIR filter Frequency sampling

Received: 12 July 2001

PACS:	TN911.72
	TN713

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	Chen Xiaoping
	Zhao Heming

Cite this article:

Chen Xiaoping,Zhao Heming. FIR Filter design: frequency sampling technique based on immune algorithm[J]. , 2002, 24(11): 1722-1727 .

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http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2002/V24/I11/1722