vmd变分模态分解，是一种自适应、完全非递归的模态变分和信号处理的方法。该技术具有可以确定模态分解个数的优点，其自适应性表现在根据实际情况确定所给序列的模态分解个数，随后的搜索和求解过程中可以自适应地匹配每种模态的最佳中心频率和有限带宽，并且可以实现固有模态分量（IMF）的有效分离、信号的频域划分、进而得到给定信号的有效分解成分，最终获得变分问题的最优解。(VMD variational modal decomposition is an adaptive, completely non-recursive modal variational and signal processing method. This technique has the advantage that the number of modal decompositions can be determined. Its adaptability manifests itself in determining the number of modal decompositions for a given sequence according to the actual situation. The subsequent search and solution process can adaptively match the number of each modal decomposition. It has the best center frequency and limited bandwidth, and can achieve effective separation of inherent modal components (IMF), frequency domain division of signals, and then obtain effective decomposition components of a given signal, and finally obtain the optimal solution of the variational problem.)