由于小波变换能有效地提取字符的结构特征，自适应共振(art)网络有很好的学习能力。
Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.
利用线模电流的小波变换系数进行测距，不仅不受故障电阻的影响，也不受故障起始角的影响。
The location result is not influenced by fault resistance and inception Angle when wavelet transform coefficient of aerial mode current is used in fault location.
该方法与反褶积方法比较，小波变换后的测井曲线更能反应细节信息，具有更高的纵向分辨率。
Compared with deconvolution method, the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.
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