测试结果表明此套系统可以实现神经信号的采集和刺激。
The result of testing shows that the system can carry out collection and stimulating of neural signal.
利用人工神经网络理论，通过对设备振动信号采集、处理和提取特征参数的方法，对装载机机械系统工作状态进行智能监测与故障诊断。
This paper involves ANN based intelligent condition monitoring and diagnosing of loaders, focusing on signal collecting and processing as well as characteristic parameter picking up.
通过对安装在反应堆压力壳上的多个加速度传感器的信号进行采集，并经过信号预处理、时频变换、神经网络计算等过程，实现对核电站松动件碰撞位置的定位。
The loose part impact positions are located by analyzing signals from accelerometers mounted on the reactor vessel with signal pre processing, time frequency transforms, and neural networks.
在对采集到的信号降噪后，利用“小波包-能量”法提取特征量，并将其输入到神经网络中进行故障识别。
After noise reduction in the signal, using "wavelet packet-energy" to extract the characteristic vector and input them to the neural network for fault identification.
针对某一确定数据采集系统中小波去噪时的阈值选择，提出以小波神经网络加标准信号来标定去噪阈值的方法，从而提高对信号的去噪性能。
This article proposed a method to mark denoising threshold from study function of wavelet nerve network in order to improve performance of denoising to signals.
基于汽车的常见被盗方式，介绍了用多传感器采集信号、信息融合技术处理信号的方法，分析了信息融合技术的基本算法，讲述了神经网络的自学习和自组织能力。
Based on the usual means of stealing an automobile, this paper mainly introduces the methods of signal acquisition based on multi sensors and signal processing with information fusion technology.
然后，采用小波包对采集的铣削力信号进行分解和消噪处理，并提取其能量特征作为BP神经网络的输入向量。
Then, wavelet packet was used to decompose and de-noise the milling force signal, as well as extracts the signals 'energy characteristics as import vectors of BP Neural Network.
然后，采用小波包对采集的铣削力信号进行分解和消噪处理，并提取其能量特征作为BP神经网络的输入向量。
Then, wavelet packet was used to decompose and de-noise the milling force signal, as well as extracts the signals 'energy characteristics as import vectors of BP Neural Network.
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