Wavelet function can discriminate function’multiresolution approximation and space and frequency’localizing.
小波函数可提供区别函数的多分辨近似，提供空间和频率的局部化。
参考来源 - 小波神经网络及其应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Original ECG preprocessing:remove noise such as high-frequency power supply and interference factors such as baseline drift by wavelet function and filter;
原始心电信号的预处理：利用小波降噪函数和滤波器去除电源干扰的高频噪声和基线漂移及抖动等干扰因素；
Wavelet neural networks can be regard as not only the function-linked networks based wavelet function, but also the extension of Radical basis function (RBF) networks.
小波神经网络可以看作是以小波函数为基底的一种函数连接型网络，也可以认为是径向基函数(RBF)网络的推广。
The wavelet function is such a function which possesses good localization characteristics, so theoretically it can be applied to the detection of non-integer harmonics.
小波函数是具有时域和频域良好局部化特性的函数，理论上可以用于非整次谐波的检测。
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