eminemd的一首歌_百度知道
不知道是不是这首歌，【阿姆—mockingbird 】，酷狗里面就可以找到
你问题也打得太匆忙了把 eminem的Business
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出门在外也不愁matlab编的有关EMD去噪的程序，处理的是核磁共振测井信号，急求_百度知道
matlab编的有关EMD去噪的程序，处理的是核磁共振测井信号，急求
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2:length(maxmin)), h(mins); % mean of max and min enveloppes
%%求上下包络的均值
prevh = h, i+1]:length(maxmin)).3 (typical value) %%筛选停止准则
% find local max/
%%用样条函数插值拟合所有的极大值点
minenv = spline(
%%找到极值点在信号中的坐标（不分极大值和极小值点）
elseif sign(d(i))~=sign(d(i+1))
% we are straddling a zero so%%如y=|x|在x=0处是极值点,2)&lt, h is the signal
SD = 1; % approximate derivative %%求各点导数
maxmin = []:2;
= maxmin(2; % Standard deviation which will be used to stop the sifting process
while SD &gt.^2 + eps) ); % copy of the input signal (as a row vector)N = length(x); (prevh:2; 2
c = c - h:2function imf = emd(x;maxmin(2)
% first one is a max not a min
maxes = maxmin(1，但该点倒数不存在:N-2
if d(i)==0
% we are on a zero %%导数为0的点，所以不能用上面的判
maxmin = [maxmin,1;min points
d = diff(h);%%最好把函数名改为emd1之类的; form imf
maxenv = spline(maxes.^2) . if we reach the end before n
if size(maxmin:N):n % loop on successive IMFs
%-------------------------------------------------------------------------
% inner loop to find each imf
%-------------------------------------------------------------------------
% spline interpolate to get max and min envelopes.0000001.&#47，一边负）; % to avoid zero values
SD = sum ( ((prevh - h);
% is the other way around
maxes = maxmin(2:N):length(maxmin)):length(maxmin)); 0，以免和Grilling的emd冲突
%%n为你想得到的IMF的个数c = x(&#39，那么该点为极值点
maxmin = [maxmin,2) & 2 % then it is the residue %%判断信号是不是已经符合残余分量定义
% divide maxmin into maxes and mins
%% 分离极大值点和极小值点
if maxmin(1)&2, then h is the residue
= maxmin(1，即”驻点“;,1，但驻点不一定都是极值点; % at the beginning of2;
%%用样条函数插值拟合所有的极小值点
m = (maxenv + minenv)&#47, i]; % Matrix which will contain the successive IMF;-% loop to decompose the input signal into n successive IMFsimf = []; % store the extracted IMF in the matrix imf
% if size(
%% 计算停止准则
imf = [imf,n), and the residuefor t=1.3 % while the standard deviation is higher than 0;
N]; % substract mean to h
%% 减去包络均值
% calculate standard deviation
eps = 0; % to store the optima (min and max without distinction so far)
for i=1,2) & % copy of the previous value of h before modifying it %%h为分解前的信号
h = h - m，如y=x^3的x=0处
if sign(d(i-1))~=sign(d(i+1))
% it is a maximum %%如果驻点两侧的导数异号（如一边正;
% make endpoints both maxes and mins
maxes = [1 maxes N]; h],h(maxes);
% define zero as at i+1 (not i) %%这里提供了另一类极值点的判断方法
if size(maxmin
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Ts)%% ,'Color'%上包络线
s2 = -getspline(-x1);for k1 = 0,
u = 1,N);%此处的x2为文章中的h
sd = sum((x1-x2);FontSize&#39,
plot(c,&#39,b([k k k]);-r'---------------------------------------------------------------------------------------------------------------------------------------------------------------function n = findpeaks(x)% Find peaks, ylabel(&#39,1;plot(t;s1 = getspline(x).M = length(imf);c = linspace(0;xlabel('c = linspace(0;%上包络线x1 = (s1+s2)/title(&#39,(N-1)*Ts;-r&#39, ylabel(&#39,[0 c(end)]:Ts;;;Ts=0、y轴句柄
xlabel('XLim'%设置x.*sin(40*pi*t););),&#39,d;u
= find(x(n+1) &k%此版本为ALAN 版本的整合注释版 function imf = emd(x)% Empiricial Mode Decomposition (Hilbert-Huang Transform)% imf = emd(x)% F;
x1 = x2:length(imf)
b(k) = sum();Time');),k2);while ~ismonotonic(x) %当x不是单调函数;FontSize&#39,8;(2*pi),s2;max(b)，分解终止条件
x1 =% Set time-frequency plots,3): [x;plot(t;x=sin(2*pi*t):N-1),&#39,1&#47, u = 0;endimf = x: emd% Get HHT; 0););g'plot(t:; x(n));title('% FUNCTIONSfunction u = ismonotonic(x)%u=0表示x不是单调函数,[0 x(p) 0].^2);YLim'Amplitude'Fs),N-1);%此处的x2为文章中的h
sd = ITime'2:)),x),':6000): Syntax%
The array（列） x is the input signal and Ts is the sampling period（取样周期），得c1
while (sd &gt,'end[u，u=1表示x为单调的u1 = length(findpeaks(x))*length(findpeaks(-x));t=0,
subplot(4;原信号时频图');%
plot_hht(x(1;
set(----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------function plot_hht00(x;H2; 0;hold on.% plot_hht(x;
imf = x1;if abs(u1-u2) &gt, u = 0.&#39:N) &n(u) = n(u)+1; hold on.1) | ~isimf(x1) %当标准偏差系数sd大于0,[0 c(end)]); 1,'MarkerSize'
= angle(hilbert(imf));%转置为行矩阵imf = [],1;p = findpeaks(x);
xlabel(&#39,
u = 1，分量终止条件
s1 = getspline(x1);b
= 1-b/u2 = length(findpeaks(x))+length(findpeaks(-x));%下包络线
x2 = x1-(s1+s2)/for k = 1;u1 = sum(x(1.0005;end% Set IMF plots,n为极值点所在位置% n = findpeaks(x)n
= find(diff(diff(x) &
% 采样率2000HZ% 调幅信号%x=sin(2*pi*t);s = spline([0 p N+1];;sum(x1;
d = diff(th)&#47,(N-2)*Ts;);
title('EMD分解结果'%均值%直到x1满足IMF条件;);Frequency'
= x-x1; 0):4:2)
plot(c;Time'N = length(x);XLim'if u1 &gt,&#39.),v] = sort(-b); 0:10;%上包络线s2 = -getspline(-x).1或x1不是固有模态函数时,'双边带调幅信号&#39.找到极值 ; endfunction u = isimf(x)%u=0表示x不是固有模式函数,Fs] = wavread(&#39,'),s1，u=1表示x是固有模式函数N
= length(x);for k = v(1,8:min(4.*x(2;.N = length(x);imf = emd(x););;else:M-1
for k2 = 1,'% Func .*imf),x1; endfunction s = getspline(x)%三次样条函数拟合成元数据包络线N = length(x),imf):N),Ts)%
双边带调幅信号的EMD分解% Plot the HHT,M-k1); 0) &lt,[0 50]);else.wav'plot(t;;%Ts&#47.%
Example on use.^2)&#47: findpeaksx= transpose(x(
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出门在外也不愁刚买了一台ipad3大家帮忙看一下是不是翻新机，序列号是DYTHVSEMDVGH,型号是MD367ZP_百度知道
刚买了一台ipad3大家帮忙看一下是不是翻新机，序列号是DYTHVSEMDVGH,型号是MD367ZP
556固件版本：日正品行货：IPAD 3RD GEN 4G 32GB BLK产品序列号(SN).1：已激活最后激活日期：日是否已经激活：5：新加坡保修截止，若有帮助：DYTHVSEMDVGH移动设备IMEI码产品型号，请及时采纳.1销售地区
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出门在外也不愁EMDchengxuyitiao 这是EMD的程序吧，里面的子 也重新整理好的，本人已经调试成功！ Other systems 其他 224万源代码下载-
&文件名称: EMDchengxuyitiao& & [
& & & & &&]
&&所属分类:
&&开发工具: C-C++
&&文件大小: 2 KB
&&上传时间:
&&下载次数: 0
&&提 供 者:
&详细说明：这是EMD的程序吧，里面的子程序也重新整理好的，本人已经调试成功！-This is the EMD program,it contains the subcode and I have debugging it sucessfully
文件列表(点击判断是否您需要的文件，如果是垃圾请在下面评价投诉):
&&EMD调试成功程序\emd.m&&...............\findpeaks.m&&...............\getspline.m&&...............\isimf.m&&...............\ismonotonic.m&&...............\plot_hht00.m
&输入关键字，在本站224万海量源码库中尽情搜索：对图像进行emd分解程序得到各个imf分量_百度知道
对图像进行emd分解程序得到各个imf分量
最好是matlab程序，谢谢
整理下文库的程序
imf=emd(x);m穿籂扁饺壮祭憋熄铂陇=size(imf,1);figurefor z=1:m
subplot(m,1,z)
d3=imf(z,:);
plot(d3);end
请问为什么不能读入图像？??? Error: File: emd.m Line: 49 Column: 80Expression or statement is incomplete or incorrect.
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emd.m文件function imf = emd(x)% Empiricial Mode Decomposition (Hilbert-Huang Transform)% EMD分解或HHT变换% 返回值为cell类型，依次为一次IMF、二次IMF、...、最后残差x
= transpose(x(:));imf = [];while ~ismonotonic(x)
while (sd & 0.1) || ~isimf(x1)
s1 = getspline(x1);
% 极大值点样条曲线
s2 = -getspline(-x1);
% 极小值点样条曲线
x2 = x1-(s1+s2)/2;
sd = sum((x1-x2).^2)/sum(x1.^2);
i穿籂扁饺壮祭憋熄铂陇mf{end+1} = x1;
= x-x1;endimf{end+1} =% 是否单调function u = ismonotonic(x)u1 = length(findpeaks(x))*length(findpeaks(-x));if u1 & 0
u = 0;else
u = 1;end% 是否IMF分量function u = isimf(x)N
= length(x);u1 = sum(x(1:N-1).*x(2:N) & 0);
% 过零点的个数u2 = length(findpeaks(x))+length(findpeaks(-x));
% 极值点的个数if abs(u1-u2) & 1
u = 0;else
u = 1;end% 据极大值点构造样条曲线function s = getspline(x)N = length(x);p = findpeaks(x);s = spline([0 p N+1],[0 x(p) 0],1:N);这是对信号进行分解的程序，看看对你有没有帮助
这个程序我有了，不过还是很谢谢，EMD分解对二维信号的处理，不是一维行列这么简单。。。还是看不到imf各个分量。。
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出门在外也不愁