文件名称:Matlab-runcode

  • 所属分类:
  • 数据结构常用算法
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-11-29
  • 文件大小:
  • 186kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • c**
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  • 下载说明:
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A new method for analysing nonlinear and non-stationary data has been developed.

The key part of the method is the `empirical mode decomposition method

with which any complicated data set can be decomposed into a nite and often

small number of `intrinsic mode functions that admit well-behaved Hilbert transforms.

This decomposition method is adaptive, and, therefore, highly ecient.-A new method for analysing nonlinear and non-stationary data has been developed.

The key part of the method is the `empirical mode decomposition method

with which any complicated data set can be decomposed into a nite and often

small number of `intrinsic mode functions that admit well-behaved Hilbert transforms.

This decomposition method is adaptive, and, therefore, highly ecient.
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下载文件列表





Matlab runcode

..............\FAacos.m

..............\FAcosfor.m

..............\FAhilbert.m

..............\FAimphilbert.m

..............\FAquadrature.m

..............\FAzc.m

..............\FSPHSP.m

..............\LOD-imf.csv

..............\LOD78.csv

..............\NCU2009V1.txt

..............\blocknormalize.m

..............\confidenceLine.m

..............\dist_value.m

..............\eemd.m

..............\emax.m

..............\emin.m

..............\endprocess1.m

..............\endprocess1.p

..............\ex02d.m

..............\extrema.m

..............\fa.m

..............\findEE.m

..............\findEEfsp.m

..............\findcriticalpoints.m

..............\fspecial.m

..............\hilbert.m

..............\hilbertnormalize.m

..............\hilbtm.m

..............\ifndq.m

..............\linearnormalize.m

..............\local_max.m

..............\medianfilter.m

..............\nnspa.m

..............\nnspe.m

..............\nnspe.m.bak

..............\nspplota.m

..............\nspplote.m

..............\pchipnormalize.m

..............\ratio1.m

..............\ratioa.m

..............\significance.m

..............\significanceIMF.m

..............\signiplotIMF.m

..............\skiphilbt_m.m

..............\splinenormalize.m

..............\splinenormalizeep.m

..............\test.m

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