小波函数:又称凌波函数、小波分析(wavelet analysis), 或小波变换、小波转换(wavelet transform)是指用有限长或快速衰减的、为母小波(mother wavelet)的震荡波形来表示信号。该波通过被缩放和平移以匹配输入的信号。
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
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。
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.
自适应小波神经网络检测法就是利用小波函数取代通常神经网络中隐层的作用函数来实现的。
Adaptive wavelet neural network intelligent detection is a method in which the wavelet function substitutes for the activation function of hidden layer in the neural network.
立足于小波的构造,比较深入地探讨了尺度函数和小波函数的两尺度符号与小波构造的紧密关系。
Basing on the construction of wavelet, discuss the close relation between the scaling function and wavelet function's two scale symbol and wavelet construction.
In contrast, if we're taking the wave function and describing it in terms of n, l, m sub l, and now also, the spin, what are we describing here?
相反,如果我们考虑一个波函数,然后用n,l,m小标l,还有自旋,我们描述的是什么?
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