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% 当前的延拓模式是补零 % 产生原始信号 x = randn(1,200); % 计算x的shannon熵 e1 = wentropy(x,'shannon') % 计算x的对数能量熵 e2 = wentropy(x,'log energy') % 计算x的阈值熵，阈值取为0.2 e3 = wentropy(x,'threshold',0.2) % 计算x的“sure”熵，阈值

function sig=sigmerge(x1,x2,ratio); %SIGMERGE Add two signals with given energy ratio in dB. % SIG=SIGMERGE(X1,X2,RATIO) adds two signals so that a given % energy ratio expressed in deciBels is satisf

function [margt,margf,E]=margtfr(tfr,t,f) %MARGTFR Marginals and energy of a time-frequency representation. % [MARGT,MARGF,E]=MARGTFR(TFR,T,F) calculates the time and % frequency marginals and the en

function [margt,margf,E]=margtfr(tfr,t,f) %MARGTFR Marginals and energy of a time-frequency representation. % [MARGT,MARGF,E]=MARGTFR(TFR,T,F) calculates the time and % frequency marginals and the en

function sig=sigmerge(x1,x2,ratio); %SIGMERGE Add two signals with given energy ratio in dB. % SIG=SIGMERGE(X1,X2,RATIO) adds two signals so that a given % energy ratio expressed in deciBels is satisf

function sig=sigmerge(x1,x2,ratio); %SIGMERGE Add two signals with given energy ratio in dB. % SIG=SIGMERGE(X1,X2,RATIO) adds two signals so that a given % energy ratio expressed in deciBels is satisf

function [margt,margf,E]=margtfr(tfr,t,f) %MARGTFR Marginals and energy of a time-frequency representation. % [MARGT,MARGF,E]=MARGTFR(TFR,T,F) calculates the time and % frequency marginals and the en

function [margt,margf,E]=margtfr(tfr,t,f) %MARGTFR Marginals and energy of a time-frequency representation. % [MARGT,MARGF,E]=MARGTFR(TFR,T,F) calculates the time and % frequency marginals and the en

function sig=sigmerge(x1,x2,ratio); %SIGMERGE Add two signals with given energy ratio in dB. % SIG=SIGMERGE(X1,X2,RATIO) adds two signals so that a given % energy ratio expressed in deciBels is satisf

function Eh = historyupdate(Eh,Ev,t,T) % Temperature & Energy history update method supplied with SA Tools. % Copyright (c) 2002, by Richard Frost and Frost Concepts. % See http://www.frostconcepts