| FIR滤波器设计:基于免疫算法的频率抽样技术 |
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| 引用本文： | 陈小平,赵鹤鸣.FIR滤波器设计:基于免疫算法的频率抽样技术[J].电子与信息学报,2002,24(11):1722-1727. |
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| 作者姓名： | 陈小平 赵鹤鸣 |
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| 作者单位： | 苏州大学通信与电子工程系,苏州,215021 |
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| 基金项目： | 国家自然科学基金 项目批准号:60172016 |
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| 摘 要： | 该文介绍了免疫算法在数字滤波器设计-频率抽样技术中的应用，结合FIR数字低通，带通滤波器设计的两个例子，给出了算法实现的具体操作步骤和实验结果，实验数据表明，采用免疫算法确定的频率过渡带样本值是最优的，设计的FLR滤波器的频率特性优于查表法，文中还把免疫算法与遗传算法在频率抽样技术中的应用作了比较，其收敛速度较遗传算法明显加快。
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| 关 键 词： | 免疫算法 FIR滤波器 频率抽样 |
| 收稿时间： | 2001-7-12 |
| 修稿时间： | 2001年7月12日 |
FIR Filter design: frequency sampling technique based on immune algorithm |
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| Chen Xiaoping,Zhao Heming.FIR Filter design: frequency sampling technique based on immune algorithm[J].Journal of Electronics & Information Technology,2002,24(11):1722-1727. |
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| Authors: | Chen Xiaoping Zhao Heming |
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| Affiliation: | Dept. of Communication and Electronics Eng.,Suzhou University Suzhou 215021 China |
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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. |
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| Keywords: | Immune algorithm FIR filter Frequency sampling |
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