代码搜索：sprintf
找到约 7,065 项符合「sprintf」的源代码
代码结果 7,065
www.eeworm.com/read/375212/9368815
m anova1w.m
function anova1w(dat,alpha)
%ANOVA1W One way analysis of variance
% Calculates one way ANOVA table and tests significance of
% between factors variation (it is assumed that each column
% of the d
www.eeworm.com/read/375212/9368876
m anova2w.m
function anova2w(dat,alpha)
%ANOVA2W Two way analysis of variance
% Calculates two way ANOVA table and tests significance of
% between factors variation (it is assumed that each column
% of the da
www.eeworm.com/read/375212/9368928
m pca.m
function [scores,loads,ssq,res,q,tsq] = pca(data,plots,scl,lv)
%PCA Principal components analysis
% This function uses the svd to perform pca on a data matrix.
% It is assumed that samples are ro
www.eeworm.com/read/375212/9369011
m nplsbld1.m
function [wts,upred]= nplsbld1(t,u,ii,n,plots)
%NNPLSBLD1 Carries out NNPLS when model structure is already known.
% A conjugate gradient optimization subroutine is supplied. If the user
% has the
www.eeworm.com/read/178406/9399700
m tst_fe.m
d=3e-3; L=.16;
E=210e9; rho=7800;
F=2*9.81;
X=[];
for F=[0:.25:4]*98.1
n=59;
ne=2*(n+1);
M=zeros(ne); K=zeros(ne);
for q=1:n,
[Me,Ke]=mkbeam(d,L/n,E,rho,-F);
ind=(q-
www.eeworm.com/read/374386/9407769
m ep2_p1.m
% Ep2_p1: > 数值积分 算式（2.8）
% Designed by FGH
% m= 4;
a= 30.6;
b= 29.6;
R= 30;
h= 1/m;
k= 2*pi/m;
e= 0 : k : 2*pi;
t= (0 : h : 1)';
% 算式(2.13)
f= sqrt(t.^2*ones(size(t))
www.eeworm.com/read/374386/9407775
m ep2_p2.m
% Ep2_p2: > 数值积分 Simpson 算式（2.10）
% Designed by FGH
% m= 4;
a= 30.6;
b= 29.6;
R= 30;
h= 1/(2*m);
k= 2*pi/(2*m);
e= 0 : k : 2*pi;
t= (0 : h : 1)';
% 算式(2.13)
f= sqrt(t
www.eeworm.com/read/178248/9412310
m dtwglcgxw.m
disp('正在匹配模板参数.......')
for i=1:10
fname=sprintf('d:\\sounds\\number\\lmsound\\lm%d.wav',i-1);
x=wavread(fname);
[x1,x2]=vad(x);
x=x(x1*80:x2*80,:);
m=mfcc(x);
ref(i).mfcc=m;
end
di
www.eeworm.com/read/373250/9467550
m~ bipartitematchingdemoplot.m~
function optimalMatchingDemoPlot(sources, detections, a)
hold on
p1 = size(sources,2);
p2 = size(detections,2);
for i=1:p1
text(sources(1,i), sources(2,i), sprintf('s%d', i));
end
for i=1:p2
text
www.eeworm.com/read/373250/9467697
m bipartitematchingdemoplot.m
function bipartiteMatchingDemoPlot(sources, detections, a)
hold on
p1 = size(sources,2);
p2 = size(detections,2);
for i=1:p1
h=text(sources(1,i), sources(2,i), sprintf('s%d', i));
set(h, 'color',