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一般选择在GUI界面选择transient，再设定相应的CFL数，时间间隔，和需要计算的物理时间步数和每个物理时间步的子迭代数，就可以进行非定常计算了。
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wpviewcf做出来的图代表啥意义
<h1 style="color:# 麦片财富积分
新手, 积分 5, 距离下一级还需 45 积分
我用小波包变换将sin和chirp的混合信号分解，用wpviewcf做出了图 但是这个图是什么意义，能从图上得出什么信息呢 大侠给解释一下吧。
以下是程序和图片
N=70;
t=0:0.01:N;
f0=0.15;
t1=30;
f1=4;
x1=sin(2*pi*2*t);
x2=chirp(t,f0,t1,f1);
y=x1+x2;
figure(1);
subplot(311);
plot(t,x1);
subplot(312);
plot(t,x2);
subplot(313);
plot(t,y);
ylabel('Chirp signal y');
axis([0 25 -1 1]);
%用db1小波包分解信号x到第3层;
%采用香农熵的标准;
w=wpdec(y,3,'db1','shannon');
plot(w);
wpviewcf(w,1);复制代码
1.png (38.94 KB, 下载次数: 0)
用wpviewcf做出的图
16:24 上传
<h1 style="color:# 麦片财富积分
关注者： 1
是时频面图，你的频域主要是集中在7,8中，9里面也有点，至于7,8,9个代表哪个频域短根据你的采样频率70算吧
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MATLAB中文论坛微社区>> wpviewcf.m
wpviewcf.m ( File view )
function wpviewcf(Ts,Ds,colmode,nb_colors)
%WPVIEWCF Plot wavelet packets colored coefficients.
wpviewcf(T,D,CMODE) plots the colored coefficients
for the terminal nodes of the tree T.
T is the tree structure.
D is the data structure.
CMODE is an integer which represents the color mode with:
1: 'FRQ : Global + abs'
2: 'FRQ : By Level + abs'
3: 'FRQ : Global'
4: 'FRQ : By Level'
5: 'NAT : Global + abs'
6: 'NAT : By Level + abs'
7: 'NAT : Global'
8: 'NAT : By Level'
wpviewcf(T,D,CMODE,NB) uses NB colors.
x = sin(8*pi*[0:0.005:1]);
[t,d] = wpdec(x,4,'db1');
plottree(t);
wpviewcf(t,d,1);
See also MAKETREE, WPDEC.
M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 01-Sep-96.
Last Revision: 07-May-2003.
The MathWorks, Inc.
% $Revision: 1.13.4.2 $
% Check arguments.
if errargn(mfilename,nargin,[2:4],nargout,[0]), error('*'), end
switch nargin
case 2 , nb_colors = 128; colmode = 1;
case 3 , nb_colors = 128;
flg_line = 5;
= wtreemgr('table',Ts,0)';
nodes = tab(1,:)';
sizes = wdatamgr('rsizes',Ds);
= size(tab,2);
order = wtreemgr('order',Ts);
[depths,posis]
= ind2depo(order,nodes);
dmax = size(tab,1)-1;
= wdatamgr('rallcfs',Ds);
if find(colmode==[1 2 3 4])
ord = wpfrqord(nodes);
ord = [1:length(nodes)];
if find(colmode==[1 2 5 6])
abs_val = 1;
elseif find(colmode==[3 4 7 8])
abs_val = 0;
if find(colmode==[1 3 5 7])
cfs = wcodemat(cfs,nb_colors,'row',abs_val);
switch colmode
case 1 , strtit = 'Frequency Order : Global + abs';
case 2 , strtit = 'Frequency Order : By Level + abs';
case 3 , strtit = 'Frequency Order : Global';
case 4 , strtit = 'Frequency Order : By Level';
case 5 , strtit = 'Natural Order : Global + abs';
case 6 , strtit = 'Natural Order : By Level + abs';
case 7 , strtit = 'Natural Order : Global'
case 8 , strtit = 'Natural Order : By Level';
deb = [1];
for k = 1:nbtn
fin(k) = deb(k)+sizes(1+depths(k))-1;
deb(k+1) = fin(k)+1;
= (2.^(dmax-depths));
NBrowtot = sum(nbrows);
NBcoltot = sizes(1);
= zeros(NBrowtot,NBcoltot);
= zeros(nbtn,1);
for k = 1:nbtn
ypos(ord(k)) = sum(nbrows(ord([1:k-1])));
ypos = NBrowtot+1-ypos-
ymin = (ypos-1)/NB
ymax = (ypos-1+nbrows)/NB
ytics = (ymax+ymin)/2;
[ytics,K] = sort(ytics);
for k = 1:nbtn
ylabs(k,:) = sprintf('%2.0f',nodes(k));
ylabs = ylabs(K,:);
= 1/(2*NBrowtot);
ydata = [(1-alfa)*ylim(1)+alfa*ylim(2) (1-alfa)*ylim(2)+alfa*ylim(1)];
if NBrowtot==1
ydata(1) = 1/2; ydata(2) = 1;
xlim = [1 NBcoltot];
colormap(cool(nb_colors));
set(axe,'Xlim',xlim,'Ylim',ylim,'Nextplot','replace');
imgcfs = image(...
'Xdata',[1:NBcoltot],
'Ydata',ydata,
'Cdata',matcfs,
'Userdata',[depths posis ymin ymax] ...
for k = 1:nbtn
d = depths(k);
z = cfs(deb(k):fin(k));
z = z(ones(1,2^d),:);
z = wkeep1(z(:)',NBcoltot);
if find(colmode==[2 4 6 8])
z = wcodemat(z,nb_colors,'row',abs_val);
r1 = ypos(k);
r2 = ypos(k)+nbrows(k)-1;
matcfs(r1:r2,:) = z(ones(1,nbrows(k)),:);
if dmax&=flg_line & nbtn~=1
'Xdata',[0.5 NBcoltot+0.5], ...
'Ydata',[ymin(k) ymin(k)],
'Linewidth',2
NBdraw = NBdraw+1;
if NBdraw==10 | k==nbtn
set(imgcfs,'Xdata',[1:NBcoltot],'Ydata',ydata,'Cdata',matcfs);
NBdraw = 0;
ftnsize = get(0,'FactoryTextFontSize');
set(axe, ...
'Ydir','reverse',
'Xlim',xlim,'Ylim',ylim,
'Ytick',ytics,'YtickLabel',ylabs, ...
'fontsize',ftnsize,
'Layer','top',
'Box','on');
title(strtit,'Fontsize',ftnsize+1,'FontWeight','bold');
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