代码搜索:Plot

找到约 10,000 项符合「Plot」的源代码

代码结果 10,000
www.eeworm.com/read/482887/6615688

m plot_dd.m

%========================================================================== % Create Delaunay diagram and plotting %========================================================================== % E
www.eeworm.com/read/482887/6615706

m plot_mst.m

%========================================================================== % Create Minimum Spanning Tree (MST) and plotting %=====================================================================
www.eeworm.com/read/482905/6616025

m plot_contrast.m

function plot_contrast(vicon,mean_rot,sample_rot,R,i) figure(1); subplot(1,3,1); rotplot(R,i); % title('true'); subplot(1,3,2); rx=[1,0,0; 0,cos(mean_rot(1)),-sin(mean_rot(1));
www.eeworm.com/read/481436/6641119

m plot_mvdr.m

function plot_mvdr(name) eval(['load ' name]); % test vectors for spatially sampled response W_H = conj(W(Ndata, :)); st = -1 : 0.025 : 1; est = exp(-j*pi*[0:(rp.p-1)]'*st);
www.eeworm.com/read/480430/6664009

m plot_proc.m

%plot_proc is used to change properties of a user selected curves % % plot_proc(nTask,arg1,arg2) %where % nTask -- curve manipulation code % 1 display dialog box for preference %
www.eeworm.com/read/480372/6673031

m plot_mvdr.m

function plot_mvdr(name) eval(['load ' name]); % test vectors for spatially sampled response W_H = conj(W(Ndata, :)); st = -1 : 0.025 : 1; est = exp(-j*pi*[0:(rp.p-1)]'*st);
www.eeworm.com/read/480372/6673043

m make_plot.m

function make_plot(v, w, rp, Nlevs, xlim, ylim, str1, str2) % function make_plot(w, v, rp, Nlevs, xlim, ylim) r0 = 1; r1 = -(rp.a1/(1+rp.a2)); R = [r0 r1; r1 r0]; wo = [-rp.a1; -rp.a2];
www.eeworm.com/read/480372/6673053

m plot_p.m

% remake figure 5.17 figure load run5;plot(mean(Wx'), '--'); hold on mu=rp.mu; n=1:5000; a=-0.99; lambda=abs(a); Ew1=-a+a*(1-mu*lambda).^n; a=0.99; lambda=abs(a); Ew2=-a+a*(1-mu*lambda).^n;
www.eeworm.com/read/480372/6673066

m plot_mvdr.m

function plot_mvdr(name) eval(['load ' name]); % test vectors for spatially sampled response W_H = conj(W(Ndata, :)); st = -1 : 0.025 : 1; est = exp(-j*pi*[0:(rp.p-1)]'*st);