資源簡介
信號分解EEMD方法,EEMD 方法作為一種信號分析技術,在研究信號的局部特征方面具有獨特的優(yōu)越性,非常適合處理非線性、非平穩(wěn)信號.
代碼片段和文件信息
%?This?is?an?EMD/EEMD?program
%
%???function?allmode=eemd(YNstdNE)
%
%?INPUT:
%???????Y:?Inputted?data;
%???????Nstd:?ratio?of?the?standard?deviation?of?the?added?noise?and?that?of?Y;
%???????NE:?Ensemble?number?for?the?EEMD
%?OUTPUT:
%???????A?matrix?of?N*(m+1)?matrix?where?N?is?the?length?of?the?input
%???????data?Y?and?m=fix(log2(N))-1.?Column?1?is?the?original?data?columns?2?3?...
%???????m?are?the?IMFs?from?high?to?low?frequency?and?comlumn?(m+1)?is?the
%???????residual?(over?all?trend).
%
%?NOTE:
%???????It?should?be?noted?that?when?Nstd?is?set?to?zero?and?NE?is?set?to?1?the
%???????program?degenerates?to?a?EMD?program.
%
%?References?can?be?found?in?the?“Reference“?section.
%
%?The?code?is?prepared?by?Zhaohua?Wu.?For?questions?please?read?the?“Q&A“?sect
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