搜索资源列表
ceemdan1
- CEEMDAN是对EEMD的改进算法，EEMD算法通过加入噪声来减小EMD的模态效应，CEEMDAN算法通过加入自适应的噪声来进一步减小模态效应，而且具有更好的收敛性。(CEEMDAN is an improved algorithm of EEMD, the EEMD algorithm by adding noise to reduce modal effects of EMD, CEEMDAN algorithm by adding noise adaptive mode to furth
hht_toolbox_20040808
- 经验模态分析，用于机械故障等信号处理领域，效果明显(Empirical mode analysis (EMD) is used in the field of signal processing such as mechanical fault)
最新emd_toolbox-1.3-src
- EMD 工具箱matlab的一款实用的工具箱，希望能对需要的人有帮助(emd toolbox a toolbox hope this box can give help to those who need it)
fvhvn
- For lack of EMD, Weighted acceleration, ECG data and includes source code written in MATLAB.
vq106
- Is a practical method of path planning, Energy spectrum analysis and calculation, For lack of EMD.
tei@i
- tei@i分析方法，eemd方法应用，核心期刊论文主要运用的方法(Shouyang Wang Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method)
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)
eemdtool
- 实测可用，EEMD是Ensemble Empirical Mode Decomposition的缩写，中文是集合经验模态分解，是针对EMD方法的不足，提出了一种噪声辅助数据分析方法。EEMD分解原理是当附加的白噪声均匀分布在整个时频空间时，该时频空间就由滤波器组分割成的不同尺度成分组成。(Complete program, measured available.EEMD is an acronym for Ensemble Empirical Mode Decomposition. Chines
boundary_conditions
- emd算法中的边界条件函数 %BOUNDARY_CONDITIONS_EMD extends an extrema set to limit edge effects on the interpolations(% [TMIN,TMAX,ZMIN,ZMAX] = BOUNDARY_CONDITIONS_EMD(INDMIN,INDMAX,T,X,Z,NBSYM) % % inputs: % - INDMIN, INDMAX: indices of minima and maxima
G Rilling
- 希尔伯特黄变换的一种变换方法，使用EMD分解出IMF的例子(A transformation of the Hilbert transformation, an example of the use of EMD to decompose IMF)
27504465
- HHT变换的核心是EMD,在此项过程中通过EMD的编程和HHT的编程来实现了希尔伯特黄变换,可以看出处理此方法用来处理非线()
CEEMDAN_V00
- Matlab code for empirical mode decomposition
emd_toolbox-1.3-src
- Toolbox for empirical mode decomposiion
VMD修改版
- 包含VMD、EMD、EEMD工具箱，可用于变分模态分解、EMD以及EEMD谐波检测对对比分析(Includes VMD, EMD, and EEMD toolboxes for variational modal decomposition, EMD, and EEMD harmonic detection for comparative analysi)
HHT算法
- HHT变换，HHT就是先将信号进行经验模态分解（EMD分解），然后将分解后的每个IMF分量进行Hilbert变换，得到信号的时频属性的一种时频分析方法。(HHT is to first perform the empirical mode decomposition (EMD decomposition) of the signal, and then perform Hilbert transform on each decomposed IMF component to obtain a t
FEEMD
- hht算法分析信号，包含emd分解。安装可用(The HHT algorithm analyzes the signal, including the EMD decomposition. Installation available)
emd Vs vmd
- 经验模态分解效果和改进后VMD分解方法对比,尤其是在传统经验模态分解结果的弊端上(The empirical mode decomposition effect is compared with the improved VMD decomposition method, especially in the drawbacks of the traditional empirical mode decomposition results.)
LCD
- 局部特征尺度分解程序，包含一个分析直流同步电机启动电流的案例及其数据，数据格式在zzce.m中。(local decompostion is similar to EMD and LMD)
循环谱
- 齿轮数据的分析 EMD滤波 循环自相关 循环谱密度函数 切片图(Analysis of gear data EMD filtering Cyclic autocorrelation Cyclic spectral density function Slicing)
形态滤波降噪
- 采用形态滤波器去除噪声，分别采用eemd、形态滤波器小波去噪等方法去噪，并对比(choose Morphology filters for analyzing roller bearing fault signal, and compared to the EMD EEMD WT METHODES)