MVMD的改进版本，主要改进计算速度；将其从MATLAB中移植到Python中。
MVMD的改进版本，主要改进计算速度；将其从MATLAB中移植到Python中。
原MATLAB版本：https://github.com/Yoricko/SMVMD/blob/main/SMVMD.m
参数介绍： signal - 需要分解的二维数组；
alphaMin - 与MVMD中alpha类似，相当于初始alpha；
alphaMax - 与MVMD中alpha类似，相当于迭代中允许的最大alpha；
beta - alphaMin在迭代过程中的变化比率，需要大于1，相当于每次迭代后alphaMin *=alphaMin * beta，知道alphaMin 和alphaMax一样大；
init - 0 = 初始中心频率为0，否则随机设置；
tau - 一般为0；
eps1 - 阈值容限，1e-6或1e-7即可；
eps2 - 同时；
K - 需要分解的分量数
返回值： u - 分解结果，维度0为分量 u_hat - 分量对应频谱 omega - 分量的中心频率
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