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HHTtransformanalysisofpressurepulsewavesignal
- 本文采用的是先对脉搏波进行经验模态分解，产生一组内在的模函数，每一种模态对应一种物理状态，之后使用ＨＴ得出瞬时的频率和振幅，进而得到边际谱-In this paper, is the first of the pulse wave empirical mode decomposition, resulting in a set of intrinsic mode function, each mode corresponds to a physical state, followed by th
emd
- 利用matlab程序编写的经验模态分解，介绍了emd方法的应用-emd
VMD
- 可以实现滚动轴承的故障采集处理，变分模态分解法很强大(Rolling bearing fault acquisition and processing can be realized, and the variational modal decomposition method is very powerful)
求IMF序列与原始序列的互相关系数
- 混沌信号经过EMD分解，得到的IMF序列，求每个IMF序列与原始序列的互相关系数(The chaotic signal is decomposed by EMD to obtain the IMF sequence, and the cross-correlation coefficients between each IMF sequence and the original sequence are calculated)
VMD.tar
- 将一个信号分解为几个模态分量，并且不会产生模态混叠现象，对信号的分解很清晰，大量应用于故障诊断。(A signal is decomposed into several modal components, and it does not cause modal aliasing. The decomposition of signals is very clear and widely used in fault diagnosis.)
EEMD
- 对原来的EMD进行了改进，使得对信号的分解更为完美，极大的抑制了端点效应和模态混叠现象。(The improvement of the original EMD makes the signal decomposition more perfect and greatly suppresses the endpoint effect and modal aliasing.)
emd分解
- 使用EMD对采集数据进行数据模态分解，得到各个分量信号(Use EMD to cEMD data)
EMD
- 对数据进行emd分解，可以自适应得到对应的模态分量(Emd decomposition of the data can be adaptive to get the corresponding modal components)
DMD
- 快照数据的动态模态分解，获得基模态和对应的特征值，包括频率和增长率，以及数据后处理。(Dynamic modal decomposition of snapshot data to obtain basic modes and corresponding eigenvalues, including frequency and growth rate, and data post-processing.)
宋-3-VMD数据
- 对二维数据进行变分模态分解，可用于地震数据去噪等(Variational mode decomposition of two-dimensional data can be used for seismic data denoising, etc.)
EMD
- EMD经验模态分解算法仿真，内部包含函数及泄露信号及模拟信号的仿真(Empirical Mode DecompositionEmulation of empirical mode decomposition algorithm, simulation of internal containing function, leakage signal and analog signal)
变分模态分解
- 变分模态分解，比经验模态分解更有优势对信号的处理，可以使用
pso-vmd
- 提供 基于粒子群算法优化的变分模态分解算法，适应度函数选择的是模糊熵(This paper presents a variational mode decomposition algorithm based on particle swarm optimization, and the selection of fitness function is fuzzy entropy)
【EMD重构】
- 对经验模态分解后的各分量IMF进行重构代码，函数可直接调用。(After the empirical mode decomposition, IMF reconstructs the code, and the function can be called directly.)
变分模态方法
- 变分模态分解方法能够使一个多频带的故障信号，分解出具有单个频带的子信号，然后使用共振解调方法可实现故障信号的诊断。(VMD method can decompose a multi band fault signal into a single band sub signal, and then use resonance demodulation method to realize fault signal diagnosis.)
经验模态分解及其改进
- matlab的EMD,EEMD,CEEMD和VMD四种模态分解方式(There are four mode decompositions including EMD, EEMD, CEEMD, and VMD.)
经验模态分解
- matlab 经验模态分解 信号分解与重构
蛙跳算法
- 蛙跳算法，基于蛙跳算法实现优化变分模态分解的K和a.(Frog jump algorithm, based on the frog jump algorithm to achieve optimal variational mode decomposition K and A.)
VMD
- VMD（Variational mode decomposition）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 (variable mode decomposition) is an adapt
iceemdan.m
- 信号iceemdan模态分解，包含测试信号，简单易实现，需要自己安装emd工具箱((It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand))