文件名称:emd-method
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2016-03-10
- 文件大小:
- 279kb
- 下载次数:
- 0次
- 提 供 者:
- 陈*
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
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经验模态分解(EMD Empirical Mode Decomposition )算法是Hilbert-Huang变换(HHT)的核心算法。经验模态分解(EMD)算法是通过算法过程定义的,而并非由确定的理论公式定义的,所以对其进行准确的理论分析非常困难,我们目前只能借助大量的数字仿真试验不断对其性能进行深入的研究。 EMD算法的目的在于将性能不好的信号分解为一组性能较好的本征模函数(IMFIntrinsic Mode Function ),且IMF须满足以下两个性质:
(1)信号的极值点(极大值或极小值)数目和过零点数目相等或最多相差一个;
(2)由局部极大值构成的上包络线和由局部极小值构成的下包络线的平均值为零。-Empirical Mode Decomposition (EMD Empirical Mode Decomposition) algorithm is a Hilbert-Huang Transform (HHT) core algorithm. Empirical Mode Decomposition (EMD) algorithm is defined by algorithmic processes, rather than defined by the theoretical formula determined, so be accurate theoretical analysis very difficult, we can only by means of a large number of digital simulation test its performance continues in-depth study. Purpose EMD algorithm is the bad performance of the signal is decomposed into a set of better performance of the intrinsic mode functions (IMFIntrinsic Mode Function), and the IMF must meet the following two properties: (1) extreme point signal (maximum value or a minimum value) over the number and the number is equal to zero or at most a difference mean (2) on the envelope formed by the local maxima and the local minima of the lower envelope constitute zero.
(1)信号的极值点(极大值或极小值)数目和过零点数目相等或最多相差一个;
(2)由局部极大值构成的上包络线和由局部极小值构成的下包络线的平均值为零。-Empirical Mode Decomposition (EMD Empirical Mode Decomposition) algorithm is a Hilbert-Huang Transform (HHT) core algorithm. Empirical Mode Decomposition (EMD) algorithm is defined by algorithmic processes, rather than defined by the theoretical formula determined, so be accurate theoretical analysis very difficult, we can only by means of a large number of digital simulation test its performance continues in-depth study. Purpose EMD algorithm is the bad performance of the signal is decomposed into a set of better performance of the intrinsic mode functions (IMFIntrinsic Mode Function), and the IMF must meet the following two properties: (1) extreme point signal (maximum value or a minimum value) over the number and the number is equal to zero or at most a difference mean (2) on the envelope formed by the local maxima and the local minima of the lower envelope constitute zero.
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下载文件列表
MATLAB程序
..........\HHT Matlab runcode
..........\..................\blocknormalize.m
..........\..................\confidenceLine.m
..........\..................\dist_value.m
..........\..................\eemd.m
..........\..................\emax.m
..........\..................\emin.m
..........\..................\endprocess1.m
..........\..................\endprocess1.p
..........\..................\ex02d.m
..........\..................\extrema.m
..........\..................\fa.m
..........\..................\FAacos.m
..........\..................\FAcosfor.m
..........\..................\FAhilbert.m
..........\..................\FAimphilbert.m
..........\..................\FAquadrature.m
..........\..................\FAzc.m
..........\..................\findcriticalpoints.m
..........\..................\findEE.m
..........\..................\findEEfsp.m
..........\..................\fspecial.m
..........\..................\FSPHSP.m
..........\..................\hilbert.m
..........\..................\hilbertnormalize.m
..........\..................\hilbtm.m
..........\..................\ifndq.m
..........\..................\linearnormalize.m
..........\..................\local_max.m
..........\..................\LOD-imf.csv
..........\..................\LOD78.csv
..........\..................\medianfilter.m
..........\..................\NCU2009V1.txt
..........\..................\nnspa.m
..........\..................\nnspe.m
..........\..................\nspplota.m
..........\..................\nspplote.m
..........\..................\pchipnormalize.m
..........\..................\ratio1.m
..........\..................\ratioa.m
..........\..................\significanceIMF.m
..........\..................\signiplotIMF.m
..........\..................\skiphilbt_m.m
..........\..................\splinenormalize.m
..........\..................\splinenormalizeep.m
..........\..................\test.m
..........\package_emd
..........\...........\bugfix.sh
..........\...........\EMDs
..........\...........\....\cemdc.m
..........\...........\....\cemdc2.m
..........\...........\....\cemdc2_fix.m
..........\...........\....\cemdc_fix.m
..........\...........\....\emd.m
..........\...........\....\emdc.m
..........\...........\....\emdc_fix.m
..........\...........\....\emd_local.m
..........\...........\....\emd_online.m
..........\...........\....\make_emdc.m
..........\...........\....\src
..........\...........\....\...\cemdc.c
..........\...........\....\...\cemdc2.c
..........\...........\....\...\cemdc2_fix.c
..........\...........\....\...\cemdc_fix.c
..........\...........\....\...\cextr.c
..........\...........\....\...\cextr.h
..........\...........\....\...\cio.c
..........\...........\....\...\cio.h
..........\...........\....\...\cio_fix.c
..........\...........\....\...\cio_fix.h
..........\...........\....\...\clocal_mean.c
..........\...........\....\...\clocal_mean.h
..........\...........\....\...\clocal_mean2.c
..........\...........\....\...\clocal_mean2.h
..........\...........\....\...\emdc.c
..........\...........\....\...\emdc_fix.c
..........\...........\....\...\emd_complex.c
..........\...........\....\...\emd_complex.h
..........\...........\....\...\extr.c
..........\...........\....\...\extr.h
..........\...........\....\...\interpolation.c
..........\...........\....\...\interpolation.h
..........\...........\....\...\io.c
..........\...........\....\...\io.h
..........\...........\....\...\io_fix.c
..........\...........\....\...\io_fix.h
..........\...........\....\...\local_mean.c
..........\...........\....\...\local_mean.h
..........\...........\....\zong.m
..........\...........\index_emd.m
..........\...........\install_emd.m
..........\...........\ls-R
..........\...........\revert_bugfix.sh
..........\...........\uninstall_emd.m
..........\...........\utils
..........\...........\.....\addtag.m
..........\...........\.....\boundary_conditions_emd.m
..........\...........\.....\cemd_disp.m
..........\...........\.....\cemd_visu.m