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.
介绍低光功率接收机在有线电视HF C网络中的应用，并对信号指标进行测试和比较，对经济效益进行分析。
Introduced the application of low optical power receiver to HFC network. Signal testing and economical benefit analyzing were presented at the same time.
当前，数字化技术及网络技术飞速发展，作为测试系统的源端，传感器输出大部分仍是模拟信号。
At present, digitization and network technology are developing rapidly. As the source end of testing system, the majority of sensor output is still analog signal.
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