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基于遗传算法的零极点型与头相关传递函数优化逼近
引用本文:张杰,马浩,吴镇扬.基于遗传算法的零极点型与头相关传递函数优化逼近[J].东南大学学报(自然科学版),2006,36(1):19-24.
作者姓名:张杰  马浩  吴镇扬
作者单位:东南大学无线电工程系,南京,210096
摘    要:基于与头相关传递函数HRTFs在不同频率区间上频谱特征重要性程度存在着差异的判断,结合空间听觉的研究成果,应用多种群并行进化、参数实数编码等改进措施的遗传算法GA进行了HRTFs的零极点模型逼近.实验结果表明,GA在适合人耳听觉感知特性的对数幅度谱误差准则下,逼近效果较传统的Prony和Yule-W alker方法分别获得了平均39%和46%的改善.

关 键 词:与头相关的传递函数  零极点模型  遗传算法
文章编号:1001-0505(2006)01-0019-06
收稿时间:06 22 2005 12:00AM
修稿时间:2005-06-22

Optimal approximation of head-related transfer function's zero-pole model based on genetic algorithm
Zhang Jie,Ma Hao,Wu Zhenyang.Optimal approximation of head-related transfer function''''s zero-pole model based on genetic algorithm[J].Journal of Southeast University(Natural Science Edition),2006,36(1):19-24.
Authors:Zhang Jie  Ma Hao  Wu Zhenyang
Institution:Department of Radio Engineering, Southeast University, Nanjing 210096, China
Abstract:Based on the judgement of HRTFs'(head-related transfer functions,HRTFs) different importance for sound source's recognition in different spectrum spans,and associated with some perspectives of psychoacoustics in spatial hearing,multiple demes' parallel and real-valued coding genetic algorithm(GA) is applied to the approximation of the HRTFs' zero-pole model.Using the logarithmic magnitude's error criterion for human auditory sense,the results show that,on an average,the performance of GA is 39% better than that of the traditional Prony method,and 46% than that of the Yule-Walker algorithm.
Keywords:head-related transfer functions  zero-pole model  genetic algorithm
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