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/197649/7983086

m plot4.m

function nt= plot4(t,c,i) % The function PLOT4 plots 4 subplots starting from the I-th component % of the data c(n,k), where n is the number of data points and % k is the number of IMF componen
www.eeworm.com/read/197591/7985158

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/197241/8010134

m plot_pr.m

function y = plot_pr(m) % File: PLOT_PR.M % CALL: plot_pr(m) % This file informs the user that "m" plots will be generated % and that the SPACEBAR key must be depressed to advance to the % next p
www.eeworm.com/read/197234/8010314

m plot_graph.m

%Chapter 2. %This function generates different plots (Amplitude, Amplitude pdf, Phase, Phase pdf, %LCR, AFD, Amplitude Correlation) for a Rayleigh fading channel. function Plot_Graph (action) handle
www.eeworm.com/read/196814/8058920

m plot3.m

%空间曲线图 % PLOT3(x,y,z,s)其中x,y,z为向量,每一组分量代表一个数据点。 % s为表示颜色、连线和标记选择的字符串 %例如 曲线x=exp(-0.2*z)*cos(0.5*pi*z),y=exp(-0.2*z)*sin(0.5*pi*z), 0
www.eeworm.com/read/397106/8067782

m plot_process.m

function plot_process(mu) %Plot the mu's during an algorithm's execution %Inputs: % mu - The location of points % No outputs h = findobj('UserData','mu'); if (~isempty(h)), delete(h
www.eeworm.com/read/397106/8067797

m plot_scatter.m

function plot_scatter(plot_features, plot_targets, fig, color) % Make a scatter plot of the data % Inputs: % plot_features - Data features % plot_targets - Data targets % fig - Optional figure han
www.eeworm.com/read/397102/8068054

m plot2.m

%PLOT2 Plot row 1 against row 2 % % plot2(x,s) % % Plot x(1,:) against x(2,:) with plotstring s. plot2 returns the % returns of plot. Defaults s = 'b-'. This command is useful for % plotting roc-
www.eeworm.com/read/397099/8068982

m plot_process.m

function plot_process(mu, plot_on) %Plot the mu's during an algorithm's execution %Inputs: % mu - The location of points % plot_on - 1-Plot centers, 2-Plot Voronoi centers, 3-Both % % No o
www.eeworm.com/read/397099/8069030

m plot_scatter.m

function plot_scatter(plot_patterns, plot_targets, fig, color) % Make a scatter plot of the data % Inputs: % plot_patterns - Data patterns % plot_targets - Data targets % fig - Optional figu