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Neural Signal Processing Scheme and its Application to Multiple Sound Source Location

机译:神经信号处理方案及其在多声源定位中的应用

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Neural signal processing scheme is presented for estimation of sound source location. Multiple sources are generated randomly in time and space. A neural system with mutually connected neurons is composed in multi-dimensional space. Multiple sensors are used as sensory system. The system is operated to convert into the state of minimum error. Configuration of sensors is 20 cm cubic. The results of estimation were found to give fine solutions at distance 20 m for 17 sound sources within the time frame of 15 sec using a sensor system with 6 sensors.
机译:提出了用于估计声源位置的神经信号处理方案。在时间和空间上随机生成多个源。具有相互连接的神经元的神经系统在多维空间中组成。多个传感器用作传感系统。系统被操作为转换为最小误差状态。传感器的配置为20厘米立方。估计结果发现,使用带有6个传感器的传感器系统,可以在15秒的时间范围内为17个声源在20 m的距离处提供精细的解决方案。

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