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emd_local
- 用镜像延拓法处理端点效应，通过信号极值点的信息来获得信号端点之外的极值点信息。-Continuation method using image processing endpoint effect, through the extreme points of the information signal to obtain signal the endpoint of the extremal points outside inform
Enovelope
- --次端点镜像延拓法获得的上下包络线； --注：输入参数是由MaMin函数获得的极值点；- - Second endpoint mirror extension obtained upper and lower envelope - Note: The input parameter is obtained by the extreme points MaMin function
EMD-end-effect-reference-code
- EMD端点效应参考代码，包含多个算法：极值平均，边界特征尺度延拓，极值延拓，基于ISBM延拓，平行延拓，镜像延拓-EMD end effect reference code contains multiple algorithms: extreme average, the boundary characteristic scale extension, extreme extension, extension based ISBM p
yantuo
- 图像延拓 求极大值极小值图像 并找到极值点所在的位置-Image continuation for maximum minimum image and find extreme value point s location
Boundary_Mirror_New
- 经验模态分解中推信号进行镜像延拓，并且考虑到多点值与极值的关系-Empirical mode decomposition signal mirror continuation, and given more value to the extreme
SelfAdapMatchWave-Parallel-extension
- 自适应波形匹配延拓的matlab代码和平行极值延拓的matlab代码。-Adaptive waveform matching extension of matlab code and matlab code parallel extension.
lcdyt
- 鉴于LCD方法存在的问题，本文提出了一种基于互相关匹配端点延拓局部特征尺度分解（Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition，简称CELCD），由于LCD分解原理是依据信号的局部极值点信息不断进行筛分信号，在信号分解时需要先确定信号的局部极值点，而信号的两个端点可能不是极值点，因此在信号两端点就会出现虚假成分，
LMDP6Data-expansion
- LMD算法利用极值平均、边界局部特征尺度延拓、HDJ极值延拓法、基于ISBM延拓、平行延拓法等对数据拓展，降低端点效应。-The LMD algorithm uses the extreme value average, the boundary local characteristic scale extension, the HDJ extreme value extension method, based on the ISBM
boundary_sbm
- 本算法在左右只延拓极大极小值点各一个， isbm是判断是否进行isbm的算法，默认进行sbm而非isbm，默认进行isbm算法了(In this algorithm, an isbm algorithm is used to determine whether isbm is performed, and isbm is used by default)
ITD
- ITD算法程序 包括求极值、镜像延拓、求残余分量等.求分解之后能量较大信号的瞬时频率和瞬时幅值。(ITD algorithm.It includes spectral extremum, mirror continuation and residual components. The instantaneous frequency and instantaneous amplitude of the larger energy sign