文件名称:Matlab-runcode
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- 上传时间：2014-11-29
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文件大小：186.11kb
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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.
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/
Matlab runcode/FAacos.m
Matlab runcode/FAcosfor.m
Matlab runcode/FAhilbert.m
Matlab runcode/FAimphilbert.m
Matlab runcode/FAquadrature.m
Matlab runcode/FAzc.m
Matlab runcode/FSPHSP.m
Matlab runcode/LOD-imf.csv
Matlab runcode/LOD78.csv
Matlab runcode/NCU2009V1.txt
Matlab runcode/blocknormalize.m
Matlab runcode/confidenceLine.m
Matlab runcode/dist_value.m
Matlab runcode/eemd.m
Matlab runcode/emax.m
Matlab runcode/emin.m
Matlab runcode/endprocess1.m
Matlab runcode/endprocess1.p
Matlab runcode/ex02d.m
Matlab runcode/extrema.m
Matlab runcode/fa.m
Matlab runcode/findEE.m
Matlab runcode/findEEfsp.m
Matlab runcode/findcriticalpoints.m
Matlab runcode/fspecial.m
Matlab runcode/hilbert.m
Matlab runcode/hilbertnormalize.m
Matlab runcode/hilbtm.m
Matlab runcode/ifndq.m
Matlab runcode/linearnormalize.m
Matlab runcode/local_max.m
Matlab runcode/medianfilter.m
Matlab runcode/nnspa.m
Matlab runcode/nnspe.m
Matlab runcode/nnspe.m.bak
Matlab runcode/nspplota.m
Matlab runcode/nspplote.m
Matlab runcode/pchipnormalize.m
Matlab runcode/ratio1.m
Matlab runcode/ratioa.m
Matlab runcode/significance.m
Matlab runcode/significanceIMF.m
Matlab runcode/signiplotIMF.m
Matlab runcode/skiphilbt_m.m
Matlab runcode/splinenormalize.m
Matlab runcode/splinenormalizeep.m
Matlab runcode/test.m
Matlab runcode/FAacos.m
Matlab runcode/FAcosfor.m
Matlab runcode/FAhilbert.m
Matlab runcode/FAimphilbert.m
Matlab runcode/FAquadrature.m
Matlab runcode/FAzc.m
Matlab runcode/FSPHSP.m
Matlab runcode/LOD-imf.csv
Matlab runcode/LOD78.csv
Matlab runcode/NCU2009V1.txt
Matlab runcode/blocknormalize.m
Matlab runcode/confidenceLine.m
Matlab runcode/dist_value.m
Matlab runcode/eemd.m
Matlab runcode/emax.m
Matlab runcode/emin.m
Matlab runcode/endprocess1.m
Matlab runcode/endprocess1.p
Matlab runcode/ex02d.m
Matlab runcode/extrema.m
Matlab runcode/fa.m
Matlab runcode/findEE.m
Matlab runcode/findEEfsp.m
Matlab runcode/findcriticalpoints.m
Matlab runcode/fspecial.m
Matlab runcode/hilbert.m
Matlab runcode/hilbertnormalize.m
Matlab runcode/hilbtm.m
Matlab runcode/ifndq.m
Matlab runcode/linearnormalize.m
Matlab runcode/local_max.m
Matlab runcode/medianfilter.m
Matlab runcode/nnspa.m
Matlab runcode/nnspe.m
Matlab runcode/nnspe.m.bak
Matlab runcode/nspplota.m
Matlab runcode/nspplote.m
Matlab runcode/pchipnormalize.m
Matlab runcode/ratio1.m
Matlab runcode/ratioa.m
Matlab runcode/significance.m
Matlab runcode/significanceIMF.m
Matlab runcode/signiplotIMF.m
Matlab runcode/skiphilbt_m.m
Matlab runcode/splinenormalize.m
Matlab runcode/splinenormalizeep.m
Matlab runcode/test.m
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