資源簡介
經驗模態分EMD的改進CEEMDAN方法源代碼,可以直接下載后調用
代碼片段和文件信息
function?[modes?its]=ceemdan(xNstdNRMaxIter)
%?WARNING:?for?this?code?works?it?is?necessary?to?include?in?the?same
%directoy?the?file?emd.m?developed?by?Rilling?and?Flandrin.
%This?file?is?available?at?%http://perso.ens-lyon.fr/patrick.flandrin/emd.html
%We?use?the?default?stopping?criterion.
%We?use?the?last?modification:?3.2007
%?
%?This?version?was?run?on?Matlab?7.10.0?(R2010a)
%----------------------------------------------------------------------
%???INPUTs
%???x:?signal?to?decompose
%???Nstd:?noise?standard?deviation
%???NR:?number?of?realizations
%???MaxIter:?maximum?number?of?sifting?iterations?allowed.
%
%??OUTPUTs
%??modes:?contain?the?obtained?modes?in?a?matrix?with?the?rows?being?the?modes????????
%???its:?contain?the?sifting?iterations?needed?for?each?mode?for?each?realization?(one?row?for?each?realization)
%?-------------------------------------------------------------------------
%??Syntax
%
%??modes=ceemdan(xNstdNRMaxIter)
%??[modes?its]=ceemdan(xNstdNRMaxIter)
%
%--------------------------------------------------------------------------
%?This?algorithm?was?presented?at?ICASSP?2011?Prague?Czech?Republic
%?Plese?if?you?use?this?code?in?your?work?please?cite?the?paper?where?the
%?algorithm?was?first?presented.?
%?If?you?use?this?code?please?cite:
%
%?M.E.TORRES?M.A.?COLOMINAS?G.?SCHLOTTHAUER?P.?FLANDRIN
%??“A?complete?Ensemble?Empirical?Mode?decomposition?with?adaptive?noise“?
%??IEEE?Int.?Conf.?on?Acoust.?Speech?and?Signal?Proc.?ICASSP-11?pp.?4144-4147?Prague?(CZ)
%
%?-------------------------------------------------------------------------
%?Date:?June?062011
%?Authors:??Torres?ME?Colominas?MA?Schlotthauer?G?Flandrin?P.
%?For?problems?with?the?code?please?contact?the?a
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