💥 💥 💞 💞 欢迎来到本博客 ❤️ ❤️ 💥 💥
🏆 博主优势: 🌞 🌞 🌞博客内容尽量做到思维缜密,逻辑清晰,为了方便读者。
⛳ 座右铭:行百里者,半于九十。
📋 📋 📋 本文目录如下: 🎁 🎁 🎁
目录
💥1 概述
📚2 运行结果
🎉3 参考文献
🌈4 Matlab代码实现
💥1 概述
本文关于一维、二维和三维空间误差测量的研究。
📚2 运行结果
部分代码:
clear ic=2; % skip step 1 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if ic==1 % part I % use y=sqrt(x/n), x has chi-square distribution with deg n clear global n p global n p q=[0.5 .8 .9 .95]; l=[(0.1:0.025:0.2) (0.3:.1:.9) (1:9) (10:10:100)]'; NL = length(l); NQ = length(q); for jj=1:NQ p=q(jj); x =1; %initial guess for iteration % x =0.01; %initial guess for fsolve for ii=1:NL n=l(ii); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% use fsolve from optimization toolbox %% %% xs=fsolve('x2disc2',x); %% xo= xs; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%% iteration %%%%%%%%%%%% p0=x2cdf(x); for j=1:2:9 while (p0 > p) x=x-(0.1)^j; p0=x2cdf(x); end while (p0 < p) x=x+(0.1)^j; p0=x2cdf(x); end end xo=x; %%%%%%%%%%%%%%%%%%%%%%%%%%%%% r(ii,jj)=sqrt(xo/n) pause end end DAT =[l r]; save \mfile\chi.mat l r fname='chi.dat' fid=fopen(fname,'wt') fprintf(fid,'%8.2f %8.4f %8.4f %8.4f %8.4f\n',DAT') fclose(fid) end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if ic==2 % part II load chi.mat NQ =4 adj= [ 0.7 0.5 0.15 -0.1]; semilogx(l,r) xlabel('n') ylabel(' R(p)/RMS ') % title(' R(p)/RMS vs n, p=0.5, 0.8, 0.9, 0.95') grid for kk=1:NQ if kk==1 p=0.5 elseif kk==2 p=0.8 elseif kk==3 p=0.9 elseif kk==4 p=0.95 end text(.5,r(5,kk)+adj(kk),['p=' num2str(100*p) '%']) end axis('square') figure(1) pause pf3('f62') end
🎉3 参考文献
部分理论来源于网络,如有侵权请联系删除。
[1]David Hsu (2023). Spatial Error Analysis: A Unified Application-Oriented Treatment