通过进一步完善，如把神经网络、小波变换等理论方法集成到PC控制软件中，可用于汽车尾气、烟道气体等多组分气体分析领域。
With the development in the future, neural network, wavelet transform can be added in the PC software to analyze more gas components, such as end gases of cars, flue gases etc.
信号处理的先进技术，如离散小波变换(DWT)和纠正多分辨傅立叶变换(MFT中)是适用于调查的振动和电流瞬变。
Advanced signal processing techniques such as discrete wavelet transform (DWT) and a corrected multiresolution Fourier transform (MFT) are applied to investigate the vibration and current transients.
针对小波变换在故障检测与测距中应用的实际问题如小波基函数、小波变换初始数据、行波波速的选取等进行了研究。
The practical problems in the fault detection and fault location using the wavelet transform, such as the wavelet basis function, the initial data, the velocity of traveling wave are studied.
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