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  • 大小: 22KB
    文件類型: .m
    金幣: 1
    下載: 0 次
    發布日期: 2021-06-05
  • 語言: Matlab
  • 標簽: emd??

資源簡介

主要用于emd 分解,簡單EMD,適合初級者練習使用。已經加了一些解釋,希望能更易懂。 function imf = emd(x) % Empiricial Mode Decomposition (Hilbert-Huang Transform) % imf = emd(x) % Func : findpeaks

資源截圖

代碼片段和文件信息

%EMD??computes?Empirical?Mode?Decomposition
%
%
%???Syntax
%
%
%?IMF?=?EMD(X)
%?IMF?=?EMD(X...‘Option_name‘Option_value...)
%?IMF?=?EMD(XOPTS)
%?[IMFORTNB_ITERATIONS]?=?EMD(...)
%
%
%???Description
%
%
%?IMF?=?EMD(X)?where?X?is?a?real?vector?computes?the?Empirical?Mode
%?Decomposition?[1]?of?X?resulting?in?a?matrix?IMF?containing?1?IMF?per?row?the
%?last?one?being?the?residue.?The?default?stopping?criterion?is?the?one?proposed
%?in?[2]:
%
%???at?each?point?mean_amplitude?%???&
%???mean?of?boolean?array?{(mean_amplitude)/(envelope_amplitude)?>?THRESHOLD}?%???&
%???|#zeros-#extrema|<=1
%
%?where?mean_amplitude?=?abs(envelope_max+envelope_min)/2
%?and?envelope_amplitude?=?abs(envelope_max-envelope_min)/2
%?
%?IMF?=?EMD(X)?where?X?is?a?complex?vector?computes?Bivariate?Empirical?Mode
%?Decomposition?[3]?of?X?resulting?in?a?matrix?IMF?containing?1?IMF?per?row?the
%?last?one?being?the?residue.?The?default?stopping?criterion?is?similar?to?the
%?one?proposed?in?[2]:
%
%???at?each?point?mean_amplitude?%???&
%???mean?of?boolean?array?{(mean_amplitude)/(envelope_amplitude)?>?THRESHOLD}?%
%?where?mean_amplitude?and?envelope_amplitude?have?definitions?similar?to?the
%?real?case
%
%?IMF?=?EMD(X...‘Option_name‘Option_value...)?sets?options?Option_name?to
%?the?specified?Option_value?(see?Options)
%
%?IMF?=?EMD(XOPTS)?is?equivalent?to?the?above?syntax?provided?OPTS?is?a?struct?
%?object?with?field?names?corresponding?to?option?names?and?field?values?being?the?
%?associated?values?
%
%?[IMFORTNB_ITERATIONS]?=?EMD(...)?returns?an?index?of?orthogonality
%???????????????????????________
%?????????_??|IMF(i:).*IMF(j:)|
%???ORT?=?\?_____________________
%?????????/
%?????????????????||?X?||?%????????i~=j
%
%?and?the?number?of?iterations?to?extract?each?mode?in?NB_ITERATIONS
%
%
%???Options
%
%
%??stopping?criterion?options:
%
%?STOP:?vector?of?stopping?parameters?[THRESHOLDTHRESHOLD2TOLERANCE]
%?if?the?input?vector‘s?length?is?less?than?3?only?the?first?parameters?are
%?set?the?remaining?ones?taking?default?values.
%?default:?[0.050.50.05]
%
%?FIX?(int):?disable?the?default?stopping?criterion?and?do?exactly??
%?number?of?sifting?iterations?for?each?mode
%
%?FIX_H?(int):?disable?the?default?stopping?criterion?and?do??sifting?
%?iterations?with?|#zeros-#extrema|<=1?to?stop?[4]
%
%??bivariate/complex?EMD?options:
%
%?COMPLEX_VERSION:?selects?the?algorithm?used?for?complex?EMD?([3])
%?COMPLEX_VERSION?=?1:?“algorithm?1“
%?COMPLEX_VERSION?=?2:?“algorithm?2“?(default)
%?
%?NDIRS:?number?of?directions?in?which?envelopes?are?computed?(default?4)
%?rem:?the?actual?number?of?directions?(according?to?[3])?is?2*NDIRS
%?
%??other?options:
%
%?T:?sampling?times?(line?vector)?(default:?1:length(x))
%
%?MAXITERATIONS:?maximum?number?of?sifting?iterations?for?the?computation?of?each
%?mode?(default:?2000)
%
%?MAXMODES:?maximum?number?of?imfs?extracted?(default

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