文件名称:eemd
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验模态分解（Empirical Mode Decomposition,简称EMD）是一种自适应信号分解方法,主要应用于非线性非平稳的信号。整体平均经验模态分解（Ensemble Empirical Mode Decomposition,简称EEMD）解决了EMD中出现的模态混合问题。-Ensemble Empirical Mode Decomposition
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下载文件列表
eemd
....\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
....\nspplota.m
....\nspplote.m
....\pchipnormalize.m
....\ratio1.m
....\ratioa.m
....\significanceIMF.m
....\signiplotIMF.m
....\skiphilbt_m.m
....\splinenormalize.m
....\splinenormalizeep.m
....\test.m