搜索资源列表
FEEMD
- 快速eemd算法，收敛速度与传统eemd相比有很大改进-EMD is a nonlinear and nonstationary time domain decomposition method. It is an adaptive, data-driven algorithm that decomposes a time series into multiple empirical modes, known as intrins
CEEMD_V
- ceemdan是对EMD EEMD的改进算法，此程序包中有子程序和测试例子，可以运行-his algorithm was presented at ICASSP 2011, Prague, Czech Republic Plese, if you use this code in your work, please cite the paper where the algorithm was first presente
emd_by_matlab
- 用于处理信号的经验模态分解算法，请调用eemd.m函数-the emperical mode decompostion codes by matlab
AnewkindofEEMD
- 一种改进的EEMD信号处理方法（CEEMD)-An improved EEMD signal processing method (CEEMD)
eemd
- EMD方法，可将非平稳信号降解为单频信号。用于分析其频谱特性。-EMD method, the non-stationary signal degradation for single-frequency signal. For the analysis of their spectral characteristics.
eemd
- 总体平均经验模态分解适合于分析非线性、非平稳信号序列，具有很高的信噪比。-The overall average empirical mode decomposition process
FastEEMD
- 快速eemd，来自台湾国立中央大学数据分析方法研究中心，Norden E. Huang-fast eemd Taiwan s National Central University Research Center analysis of data， 2010，Norden E. Huang
UWB-indoor-location-algorithm-based
- 基于EEMD的全质心UWB室内定位算法结合了EMD算法的改进版-UWB indoor location algorithm based on EEMD
[HHT]-fast-EMDEEMDCEEMD-with-ref
- 本压缩文件包含HHT-EMD(希尔伯特黄转换－经验模态分解)发明人黄锷院士领衔之台湾中央大学数据分析方法研究中心推广的标准EMD/EEMD/CEEMD分析工具，由该中心资深研究员Yung-Hung Wang王老师于2013年撰写，包含了原始EMD及近年来EMD的最新算法，最为权威、快速、精确、易用。 本人目前在该中心访学，对原文档进行了两处更动：1、加入程式注释中提到的5篇参考文献，以方便使用者随时参考，深入理解算法的意义；2、将e
EMD-HHT
- 用于机械故障诊断中的EEMD 分解和HHT 变换，我当初就是用的这个程序，稍加修改就可以满足您的要求-EMD-HHT,this program is correct
EEMD2
- 这是一个EEMD 分解的程序，可以用在故障诊断中，可以运行-This is a EEMD decomposition program that can be used in fault diagnosis, you can run
1064114656
- 针对谐波检测问题，比较几种常用谐波检测方法，总结出各自的适用条件。结合经验模态分解理论和总体平均经验模态分解(empirical mode decomposition，EEMD)算法，提出基于EEMD的谐波检测方法。-For harmonic detection problem, comparing several common harmonic detection method, summed up their applicable
EEMD
- 对EMD分解的改进，消除了EMD分解过程中的模态混叠现象，可以得到更准确的IMF分量-EMD decomposition for improvement, eliminating the EMD decomposition process modal aliasing, you can get a more accurate IMF components
eemd
- 总体经验模态分解，帮助理解经验模态分解的过程-ensembled empirical mode decomposition, to help understand the empirical mode decomposition process
wanbeijingyanmotaifenjie
- 完备经验模态分解，是EEMD的改进算法，有效的减小了模态混叠现象。-Complete empirical mode decomposition is EEMD improved algorithm effectively reduces the modal aliasing. .
CEEMDAN_V00
- 改进的EEMD程序，可弥补加噪去除不干净的问题-Improved EEMD procedures, can make up for the noise removal is not clean problem
CEEMD_eemd
- 此文件包含了法国人Gabriel Rilling编写的EMD，EEMD和CEEMD的程序，有例子还有相关的一篇文献。-This file contains the EMD, written in French Rilling Gabriel EEMD and CEEMD program, is one of the examples and related literature.
fussyen
- 自己编写的求解模糊熵程序，eemd分解，并求模糊熵，简单易懂，可实现- solve the fuzzy entropy, easy to understand, can be realized
eemd1
- 亲测真正可以运行的eemd,可用来进行分解，进而得到imf-it is the eemd which could run actually.welcome to download.
National-Taiwan-Central-University
- The current MATLAB program of HHT includes the following modules: 1) eemd.m. The module that performs EMD/EEMD 2) ifndq.m. The module that calculates an instantaneous frequency for a given IMF a