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提出了两种在相位轮廓术中使用离散小波变换提取条纹相位的方法：单次分解法和多次分解法。
Two approaches, single decomposition approach and multi-decomposition approach, using discrete wavelet transform for extracting phase in phase profilometry are proposed.
在探索单尺度径向小波框架与径向基函数网络对函数逼近特性相似的基础上，构造了单尺度径向基小波网络。
Based on the single scaling wavelet frame theory and radial basis function neural network, a multi dimensional input and output wavelet network is constructed.
由于小波变换在时域和频域上都具有良好的局部化特性，基于小波变换的去噪方法，可以达到从单次样本中提取视觉诱发电位的目的。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, a wavelet-based de-noise method is presented for extracting EPs in single trails.
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