... Applications in Signal Processing(模糊逻辑在信号处理中的应用) Neural Networks for Signal Processing(神经网络的信号处理) Applications in Telecommunications(电信方面的应用) ..
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该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
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.
最后阐述应用rbf神经网络进行基于混沌的语音信号非线性处理。
Then RBF neural network used in nonlinear processing of speech signals based on chaos aspects is presented.
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