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// GraphCutView.cpp : implementation of the CGraphCutView class // #include "stdafx.h" #include "GraphCut.h" #include "GraphCutDoc.h" #include "GraphCutView.h" #include "Energy.h" #ifde

%计算能量函数 function [Em,Ep]=Energy(d,v,n); Em=0;Ep=0; % dis_wave=0; tmp=0;em=0;ep=0;A=500;B=500;D=500;C=200; for xk=1:n for k=1:n fo

plot(interval,total_energy(:,1)./total_rpack(:,1),'d-'); %axis([30*S_size,P_size_max*S_size,0,10]); xlabel('interval'); %xlabel('queue size'); ylabel('energy'); title('energy vs interval'); lege

i=double(imread('lenna512.pgm')); imax = max(max(i)); % checking energy... disp(sprintf('Initial energy = %.10g', sum(sum(i.^2)) )); all_filter_types = {'spline', '7-9'}; for iter_filter_type = 1:2

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 2.5 : "cp0201_waveform" % % Generates the energy normalized pulse waveform % % Special case of the second derivative Gaussian pulse: % SCHOLTZ'S MONOCYCLE % % ********************

% 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