...
首页> 外文期刊>Acta acustica united with acustica >Digital Filters for Accurately Verifying the Performance of Hearing Protectors in Use
【24h】

Digital Filters for Accurately Verifying the Performance of Hearing Protectors in Use

机译:数字滤波器,可准确验证使用中的听力保护器的性能

获取原文
获取原文并翻译 | 示例

摘要

The performance of hearing protectors can be assessed in situ by measuring the sound pressure inside the ear canal following the Microphone In Real Ear (MIRE) protocol. Thus a custom-made earplug has been designed with an inner bore, allowing the insertion of the MIRE measurement microphone. However, the actual exposure level can only be accurately predicted if the relationship, henceforth called transfer function, between the sound level at the microphone and at the eardrum is known. Previous research has revealed that the transfer function can be precisely approximated with an individualized FDTD model, but a simplified method is needed for practical implementation due to the time-consuming nature of this numerical technique. In this matter, a one-dimensional analytical model appears inadequate, hence an approximation to the detailed FDTD model based on digital filter design is proposed instead. Two different approaches have been applied to estimate the individualized filter coefficients: multiple linear regression and Multivariate Orthonormal Vector Fitting (MOVE). In general, both methods can predict an individual's transfer function quite accurately if the length of the earplug's inner bore and the length of the residual part of the ear canal behind the protector are known. However, MOVE seems more reliable for ears with a longer residual part.
机译:可以按照“真实麦克风”(MIRE)协议通过测量耳道内部的声压来就地评估听力保护器的性能。因此,已将定制的耳塞设计为具有内孔,从而可以插入MIRE测量麦克风。但是,只有知道了麦克风和耳膜的声级之间的关系(以下称为传递函数),才可以准确地预测实际的暴露水平。先前的研究表明,可以使用个性化的FDTD模型精确地传递函数,但是由于这种数值技术的耗时性,因此需要一种简化的方法来实际实施。在此问题上,一维分析模型似乎不足,因此,提出了一种基于数字滤波器设计的近似详细FDTD模型的近似方法。已经应用了两种不同的方法来估计个体化的滤波器系数:多元线性回归和多元正交向量拟合(MOVE)。通常,如果已知耳塞内孔的长度和保护器后面的耳道剩余部分的长度,则这两种方法都可以非常准确地预测个人的传递函数。但是,MOVE对于残耳较长的耳朵似乎更可靠。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号