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Ambiguity function analysis of human echolocator waveform by using gammatone filter processing

机译:使用γ滤波处理的人呼吸器波形的模糊函数分析

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摘要

Human echolocation is a technique used by small group of people (normally blind persons) to observe their surrounding via emitting an active signal (usually tongue click) and analyse the return echo. This skill allows them to navigate safely by `seeing through sound'. Remarkable performances upon echolocating have attracted scholars' attention from multidiscipline field including psychophysical and engineering. Study of waveform diversity has reported the signal is wideband, consisting of multiple frequency components with exponential decay factor that probably made up the entire unique signal. As such, wideband perspective is considered during ambiguity function analysis using wide-band ambiguity function method. The waveform analysis continues and reported optimum autocorrelation function is achieved by adopting a bio-inspired technique, which incorporated gammatone-filter processing. It will be interesting to synthesise the waveform using gammatone-filter approaches prior to relay it into ambiguity function process for analysis. Therefore, it is worth to explore its output results in this paper, which hold new findings that may help to understand how these humans achieve an optimum performance upon echolocating including ambiguity function characteristic. Thus, the new knowledge explored in this paper could be beneficial in emerging concept for new development in radar and sonar system application in near future.
机译:人类呼应器是一小组人(通常是盲人)使用的技术,以通过发射活动信号(通常是舌头点击)来观察周围的周围并分析回波。这项技能允许它们通过“通过声音”安全地导航。呼声划分的卓越表现吸引了来自多学科领域的学者的注意力,包括心理物理和工程。波形分集的研究报告了信号是宽带,由多个频率分量组成,该频率分量具有指数衰减因子,可能构成了整个唯一信号。因此,在使用宽带歧义函数方法的模糊函数分析期间考虑宽带透视。通过采用生物启发技术,实现了波形分析,并报告了最佳的自相关函数,该技术掺入了γ-过滤处理。在将波形中合成在将其中继到分析的模糊功能过程之前,将利用γ滤波器方法合成波形将是有趣的。因此,值得探索本文的输出结果,该结果占据了新发现,这可能有助于了解这些人类在谐波时如何实现最佳性能,包括模糊功能特征。因此,本文探索的新知识可能有利于在不久的将来在雷达和声纳系统应用中的新发展概念。

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  • 来源
    《The Journal of Engineering》 |2019年第20期|6935-6939|共5页
  • 作者单位

    Univ Putra Malaysia Fac Engn Wireless & Photon Networks Res Ctr Serdang 43400 Selangor Malaysia;

    Univ Putra Malaysia Fac Engn Wireless & Photon Networks Res Ctr Serdang 43400 Selangor Malaysia;

    Univ Putra Malaysia Fac Engn Wireless & Photon Networks Res Ctr Serdang 43400 Selangor Malaysia;

    Univ Putra Malaysia Fac Engn Wireless & Photon Networks Res Ctr Serdang 43400 Selangor Malaysia;

    Univ Teknol MARA UiTM Fac Elect Engn Shah Alam Selangor Malaysia;

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