将神经网络技术应用于涡流检测信号的自动识别与分类是目前无损检测界关注的问题。
Close attention is paid on the application of neural network technology to automatic recognition and grading of eddy current signals in the field of NDT nowadays.
该方法采集管网每个端点的压力信号，并基于模式识别的原理对管网进行泄漏检测与定位。
This method collects the pressure data from each ends, and detects and locates leak of the pipeline based on pattern recognition principle.
安培型免疫传感器通过检测其产生的电流信号，可实现生物分子信息的检测与识别。
Amperometric immunosensor can detect and identify biological molecules by detecting its output current signal.
本论文对如何提高小震级事件面波信号检测识别能力的方法及该方法在面波信号检测中的应用进行了分析与研究。
The method of detection ability enhancement of surface wave signals for weak events is studied. Moreover, this method is applied to a set of events at regional stations.
现代信号处理与模式识别技术在超声无损检测与评价中的作用愈来愈重要。
Modern signal processing and pattern recognition have been playing an increasing important role in ultrasonic nondestructive testing and evaluation.
应用该方法对电力系统故障暂态信号进行消噪处理，从而更有利于故障的检测与识别。
This method can be applied to de-noising for transient signals of power system faults, making the faults easily identified.
其中，数字信号处理技术与数字图像处理技术是实现基于多目标识别的自动乘客计数技术的前提与基础，多目标检测与跟踪计数算法是技术实现与应用的核心。
Technologies of digital signal processing and digital image processing are the basis of APC, and multi-objects detecting and tracking algorithm is the essential factor to implement it.
其中，数字信号处理技术与数字图像处理技术是实现基于多目标识别的自动乘客计数技术的前提与基础，多目标检测与跟踪计数算法是技术实现与应用的核心。
Technologies of digital signal processing and digital image processing are the basis of APC, and multi-objects detecting and tracking algorithm is the essential factor to implement it.
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