The purpose of this study is to develop a system that enables location finding of a small sound. The location finding of a small sound has some difficulties such as high computational costs or disturbances from the am...The purpose of this study is to develop a system that enables location finding of a small sound. The location finding of a small sound has some difficulties such as high computational costs or disturbances from the ambient noises and reflected waves. The proposed system is composed of a biologically-inspired system which uses a hearing mechanism based on the human ear and a mechanism for perceiving weak signals that uses stochastic resonance. The location finding mechanism in the proposed system is based on the time-lag detecting architecture. On the other hand, the stochastic resonance mechanism can pick up the small sound source in the ambient noises. Using this proposed system, we implemented the location finding of small sounds through numerical simulations and hardware experiments. Good results were obtained for the small sound source location finding.展开更多
In recent years, indoor localization becomes more and more essential in our daily life thanks to its interesting applications that cover all domains including security, tourism. Unfortunately, the existing outdoor loc...In recent years, indoor localization becomes more and more essential in our daily life thanks to its interesting applications that cover all domains including security, tourism. Unfortunately, the existing outdoor localization systems fails in indoor environment, which has motivated researchers to develop new localization systems that challenge the indoor environments. In our work, we propose a 3D fingerprinting-based localization system that estimates a source position using acoustic signals. The latter has the advantage of being used in almost roaming devices. No dedicated infrastructure is necessary and the existing infrastructures can then be reused for indoor purposes. The proposed system has been evaluated in experimental tests in an area of dimensions 1.5 m * 1.5 m * 2 m when four microphones were placed at known positions and an artificial fan is turned on. Results show that turbulence affects the precision of estimating the source position by 7% for an accuracy of 8.5 cm.展开更多
针对波束形成原理声源定位系统,介绍其功能、工作原理及校准研究现状,同时结合国内外各生产厂商对空间分辨力的经验公式及影响因素,提出横向空间分辨力的定义并将其确定为关键校准参数之一。在校准方法研究中,阐述选择非相干纯音差频信...针对波束形成原理声源定位系统,介绍其功能、工作原理及校准研究现状,同时结合国内外各生产厂商对空间分辨力的经验公式及影响因素,提出横向空间分辨力的定义并将其确定为关键校准参数之一。在校准方法研究中,阐述选择非相干纯音差频信号作为测试信号的原因及频差选取的原则,计算出不同差频对横向空间分辨力相对误差的影响;研究确定声源定位成像图形上显示动态范围为3 d B。此外构建计量校准装置,包括标准声源系统(双声源)、信号发生系统、信号采集分析系统、传动及控制系统等。最后提出横向空间分辨力校准方法,并进行实验研究及测量不确定度评定分析。研究结果为国内外声源定位系统横向空间分辨力的校准提供技术和方法基础。展开更多
首先论述新型图信号处理(Graph Signal Processing,GSP)技术的基本概念和相关研究进展,其中包括图拓扑结构、图傅里叶变换、滤波及图学习。鉴于语音信号是一种非平稳和非线性的信号,为此,文中研究基于GSP技术的语音信号的图映射理论,即...首先论述新型图信号处理(Graph Signal Processing,GSP)技术的基本概念和相关研究进展,其中包括图拓扑结构、图傅里叶变换、滤波及图学习。鉴于语音信号是一种非平稳和非线性的信号,为此,文中研究基于GSP技术的语音信号的图映射理论,即将时域语音信号映射为图域的语音图信号,通过设计语音图信号的图拓扑结构和图邻接矩阵来研究语音图信号的内在潜藏关系,进而设计优于经典DSP的语音图信号消噪算法和系统。在此研究基础上,进一步讨论相关实际应用问题,例如麦克风阵列环境下如何通过GSP技术处理麦克风阵列声源(说话人)的定位及追踪问题。期望基于GSP技术语音图信号处理理论,为语音识别、合成、编码、增强等各个领域的图信号处理奠定理论基础。展开更多
文摘The purpose of this study is to develop a system that enables location finding of a small sound. The location finding of a small sound has some difficulties such as high computational costs or disturbances from the ambient noises and reflected waves. The proposed system is composed of a biologically-inspired system which uses a hearing mechanism based on the human ear and a mechanism for perceiving weak signals that uses stochastic resonance. The location finding mechanism in the proposed system is based on the time-lag detecting architecture. On the other hand, the stochastic resonance mechanism can pick up the small sound source in the ambient noises. Using this proposed system, we implemented the location finding of small sounds through numerical simulations and hardware experiments. Good results were obtained for the small sound source location finding.
文摘In recent years, indoor localization becomes more and more essential in our daily life thanks to its interesting applications that cover all domains including security, tourism. Unfortunately, the existing outdoor localization systems fails in indoor environment, which has motivated researchers to develop new localization systems that challenge the indoor environments. In our work, we propose a 3D fingerprinting-based localization system that estimates a source position using acoustic signals. The latter has the advantage of being used in almost roaming devices. No dedicated infrastructure is necessary and the existing infrastructures can then be reused for indoor purposes. The proposed system has been evaluated in experimental tests in an area of dimensions 1.5 m * 1.5 m * 2 m when four microphones were placed at known positions and an artificial fan is turned on. Results show that turbulence affects the precision of estimating the source position by 7% for an accuracy of 8.5 cm.
文摘针对波束形成原理声源定位系统,介绍其功能、工作原理及校准研究现状,同时结合国内外各生产厂商对空间分辨力的经验公式及影响因素,提出横向空间分辨力的定义并将其确定为关键校准参数之一。在校准方法研究中,阐述选择非相干纯音差频信号作为测试信号的原因及频差选取的原则,计算出不同差频对横向空间分辨力相对误差的影响;研究确定声源定位成像图形上显示动态范围为3 d B。此外构建计量校准装置,包括标准声源系统(双声源)、信号发生系统、信号采集分析系统、传动及控制系统等。最后提出横向空间分辨力校准方法,并进行实验研究及测量不确定度评定分析。研究结果为国内外声源定位系统横向空间分辨力的校准提供技术和方法基础。
文摘首先论述新型图信号处理(Graph Signal Processing,GSP)技术的基本概念和相关研究进展,其中包括图拓扑结构、图傅里叶变换、滤波及图学习。鉴于语音信号是一种非平稳和非线性的信号,为此,文中研究基于GSP技术的语音信号的图映射理论,即将时域语音信号映射为图域的语音图信号,通过设计语音图信号的图拓扑结构和图邻接矩阵来研究语音图信号的内在潜藏关系,进而设计优于经典DSP的语音图信号消噪算法和系统。在此研究基础上,进一步讨论相关实际应用问题,例如麦克风阵列环境下如何通过GSP技术处理麦克风阵列声源(说话人)的定位及追踪问题。期望基于GSP技术语音图信号处理理论,为语音识别、合成、编码、增强等各个领域的图信号处理奠定理论基础。
