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利用遗传算法优化设计FIR数字滤波器 被引量:4

Optimal FIR filter design via genetic algorithm
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摘要 FIR数字滤波器可以做成具有严格的线性相位,而且同时可以具有任意的幅度响应,因而在工程实际中得到了广泛的应用,遗传算法又是一种强有力的寻优算法。介绍了一种遗传算法在FIR数字滤波器设计——加权切比雪夫最佳逼近准则优化设计方法中的应用。对基本遗传算法作适当改进后,用于确定待求FIR数字低通滤波器的单位冲激响应h(n),然后利用MATLAB仿真程序求出了滤波器的幅度特性曲线,仿真结果说明了算法的有效性。 The FIR filter have gained comprehensive application in the engineering because FIR filter has strict linear phase, the same as arbitrary amplitude response, genetic algorithm also is a cogent optimal method. A new application of genetic algorithm in FIR filter with weighting Chebyshev Optimal approximation method is presented. Suitable improvements are made for the standard genetic algorithm, they are used to confirm unit impulse response h(n) of FIR filter, the emulational results prove the validity of the algorithm.
机构地区 延边大学工学院
出处 《计算机工程与设计》 CSCD 北大核心 2007年第11期2665-2666,共2页 Computer Engineering and Design
关键词 遗传算法 FIR滤波器 最佳逼近准则 优化设计 仿真 genetic algorithm FIR filter optimal approximation method optimal design simulation
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