NaodianAnlysis

代码说明：

  连续小波变换：小波函数与原信号对应点相乘，再相加，得到对应点的小波变换系数，平移小波基函数，再计算小波函数与原信号对应点相乘，再相加，这样就得到一系列的小波系数。对于离散小波变换（由于很多小波函数不是正交函数，因此需要一个尺度函数）所以，原信号函数可以分解成尺度函数和小波函数的线性组合，在这个函数中，尺度函数产生低频部分，小波函数产生高频部分。(Continuous wavelet transform: a series of wavelet coefficients are obtained by multiplying and adding the corresponding points of the original signal, translating the wavelet basis function, and calculating and adding the corresponding points of the original signal. For discrete wavelet transform (many wavelet functions are not orthogonal functions, so a scale function is required), the original signal function can be decomposed into a linear combination of scale function and wavelet function, in which the scale function generates the low frequency part and the wavelet function generates the high frequency part.)

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NaodianAnlysis.m, 3914 , 2019-07-10