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Energy 的代码
metropoliswalk.m
function [W,Ew,Wbsf,Ebsf,Ea,Estd,Ev,steps] = metropoliswalk( ...
verbose, ...
Ea, T, ...
walkers, W, X, cost, moveclass, ...
acceptrule, q, ...
hasEquilibr
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
sat2.c
/* sat2.c
Simple experiments with simulated annealing
find the nonlinear least squares optimum solution
usage: sat2 < input.data
*/
static char rcsid[] = "@(#)sat2.c 1.1 09:47:21 10/30/
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
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)
%
sat2.c
/* sat2.c
Simple experiments with simulated annealing
find the nonlinear least squares optimum solution
usage: sat2 < input.data
*/
static char rcsid[] = "@(#)sat2.c 1.1 09:47:21 10/30/
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
audiorec.cpp
#include "StdAfx.h"
#include ".\audiorec.h"
#include "AudioTestDlg.h"
#include "Fft.h"
#include
const int FFT_POINTS = 8192;
//static double MinEnergy = 10000;
static int count = 0,
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