搜索资源列表
JJK_EMD_FINAL
- 使用C++进行EMD分解,解决端点问题/去噪!-it is very good
src
- EMD(经验模态分解)的C语言实现程序,调试后可用-EMD (EMD) of the C language program
sw
- EMD分解的c++程序,程序很清晰明确,通过测试-EMD COmpostion
emd
- HHT(Hilbert-Huang)变换的IMF分解程序,为matlab编译的C++代码,需Matlab2010环境支持,或者安装相应的MCRInstaller。vc配置请查阅matlab和vc混合编程知识。-HHT (Hilbert-Huang,) transform the IMF decomposition procedure, Matlab compiled C++ code required Matlab2010 environment support, or install the
EMDtool-c
- emd的c语言版本,方便使用,高效率-emd program is edited by the c language ,and it s easy to use and efficiently .it will give you a good impression !!!!
libeemd
- 带有Python界面的EMD\EEMD\CEEMDAN的程序,做信号处理。-libeemd is a C library for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD). It includes a Python interface called pyee
Rlibeemd_1.3.5
- EEMD\CEEMDAN\EMD的R程序-An R interface for C library libeemd for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD).
eMD-6.0
- 用msp430f5528驱动九轴传感器MPU9250的C语言源代码,开发环境TI公司的CCS。-The source code which is based on CCS is used to drive MPU9250 which has 9-Axis.
cluster_VMDaFCM_casedat
- 为了精准、稳定地提取滚动轴承故障特征,提出了基于变分模态分解和奇异值分解的特征提取方法,采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解,利用 奇异值分解技术进一步提取各模态特征,通过FCM形成标准聚类中心,采用海明贴近度对测试样本进行分类,并通过计算分类系数和“卜均模糊嫡对分类性能进行评价,将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比,该方法对标准FCM
EMD_C实现
- C程序版的emd,转载一位网友的程序,需要QT平台来运行。(This program is EMD ctool.It needs QT service to support this c program.)
decomposition
- 运行emd,得到输入信号X的固有模态函数(imf),每列代表着信号X的一阶分量,X就是我们采集的信号。 hhtdn是hht去噪的程序,可以不看,仅看emd 和 findpeaks wvtdn是wavelet去噪程序,如果只是分解信号,仅用下面的语句即可 [C,L] = wavedec(x_noise,dl,wn); x_noise就是我们采集的信号,dl是分解的阶数,wn是分解的母小波名称(% Empiricial Mode Decomposition (Hilbert-Huang