均匀分散遗传算法对窗函数性能的影响

T. Kaya, M. C. Ince
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引用次数: 0

摘要

在本研究中,分析了具有均匀分散初始种群的遗传算法(GA)对设计多领域有限脉冲响应滤波器时所使用的窗函数性能的影响。在工作中,与具有多种特征的Kaiser窗的幅值响应进行了比较。在计算合适的光谱参数值时,利用具有不同初始种群的气体来获得更有用的窗函数。得到的结果表明,均匀分散遗传算法比随机产生总体更能获得结果。并将所得结果与Kaiser窗口结果进行了对比,最后发现改进后的方法在某些应用中具有更有用的结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of uniform scattered Genetic Algorithms to window function performance
In this study, the effects of Genetic Algorithms (GA) having uniform scattered initial population was analysed to window function performance used at design of finite impulse response filter prefered for many areas. At work, the comparison with amplitude response of Kaiser window having many features was done. With this work, GAs having different initial population were used to obtain more useful window function at calculation of suitable spectral parameter values. The obtained results show that to get result, uniform scattered GA is more successful than having random produced population. Addition, obtained results were shown with figures and were compared with Kaiser window results and finally, it was observed that the improved method for some applications has more useful structure.
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