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Energy 的代码
program_12_10.m
% 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
margtfr.m
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
measure.c
#include
#include
unsigned char buf[5];
void print(unsigned long int CData,bit sign)
{
unsigned char output[8];
unsigned char i;
unsigned long int x;
x=CData;
margtfr.m
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
margtfr.m
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
margtfr.m
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
margtfr.m
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
example61.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% 初始化
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%v=[0 0 0];
exam12_10.m
clc;
clear;
% 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)
%
margtfr.m
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