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.
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。
This can satisfy well time frequency analysis of multi graduation characteristic signal.
这一特点恰好满足对具有多刻度特征信号进行时频分析定位的要求。
Brief introduction and analysis of MSK signal, research its characteristic in order to demodulate efficiently.
MS K信号简介及分析，研究其特征，以便有效的对其解调。
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