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遗传算法应用于超低副瓣线阵天线方向图综合
引用本文:赵鹤鸣,朱美虹,俞一彪,陈雪勤.遗传算法应用于超低副瓣线阵天线方向图综合[J].电子学报,2003,31(1):123-126.
作者姓名:赵鹤鸣  朱美虹  俞一彪  陈雪勤
作者单位:北京大学电子学系,北京 100871
基金项目:国家自然科学基金 (No 60 1 72 0 1 6)
摘    要:基于对标准遗传算法中收敛依赖于初始群体选择的困难所作的分析,提出交替使用两种遗传繁殖操作产生后代群体以摆脱收敛对初始群体选择的依赖.对于超低副瓣线阵天线的方向图综合问题,建立了改进的遗传算法优化模型.计算实例说明改进后的遗传算法其收敛不依赖于初始群体的选择,具有实际应用前景.

关 键 词:遗传算法  阵列天线  天线辐射方向图  
文章编号:0372-2112(2003)01-0123-04
收稿时间:2001-05-28

A Multi-Pitch Detecting Method Suitable for CASA
ZHAO He ming,ZHU Mei hong,YU Yi biao,CHEN Xue qin.A Multi-Pitch Detecting Method Suitable for CASA[J].Acta Electronica Sinica,2003,31(1):123-126.
Authors:ZHAO He ming  ZHU Mei hong  YU Yi biao  CHEN Xue qin
Affiliation:Dept.of Electronics,Peking University,Beijing 100871,China
Abstract:This paper puts up a method suitable for multi pitch detecting under overlapping speech signals environment.In this method,wavelet transform is used as filtering analysis part of this pitch detecting model.Besides that,generalized autocorrelation function is used to strengthen pitch information and enhanced summary autocorrelation function is used to weaken redundant information.It is the most important that a pitch probability function is given to predict and tail after each pitch tracking to improve the veracity of pitch detecting.Above mentioned method could be applied to computational auditory scene analysis.From the experiment results provided,we can infer that this method is very useful and efficient.
Keywords:overlapping speech  pitch detecting  wavelet transform
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