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/286900/8738150
m plot_laplacian.m
function plot_laplacian(number_clusters, power, AOA_deg, sigma_deg, ...
delta_phi_deg, plot_number, colour)
% plot_laplacian(number_clusters, power, AOA_deg, sigma_deg,
% del
www.eeworm.com/read/286900/8738168
m plot_uniform.m
function plot_uniform(number_clusters, amplitude, AOA, AS, ...
plot_number, colour)
% plot_uniform(number_clusters, amplitude, AOA, AS, ...
% plot_number, colour)
%
% Plots t
www.eeworm.com/read/286741/8745830
m scatter_plot.m
function scatter_plot(m, type_of_mod, fc, fs, d)
%this program is to test the QAM and PSK modulation and demodulation
%techniques, with csatter plot and input / output signals. here
%type_of_modu
www.eeworm.com/read/286662/8751920
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/286662/8751960
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
www.eeworm.com/read/430127/8764988
m kpca_plot.m
function kpca_plot(basis,gr,ip);
%KPCA_PLOT visualizes the kpca basis.
%
% usage
% kpca_plot(basis);
%
% input
% basis kpca basis generated by kpca_calc (see there)
% gr
www.eeworm.com/read/386060/8766558
m plot_polynomial.m
% Render a homogeneous polynomial in two variables, or the variety of a
% homogeneous variable in three variables. The data samples are used to
% determine the plotting range.
function plot_polynomia
www.eeworm.com/read/386060/8766735
m plot_data.m
% plot_data(data, sampleLabels)
%
% The main function for plotting data generated by the GPCA algorithm.
%
% Can handle two or three dimensional data.
%
% Can also display a set of normal vectors on t
www.eeworm.com/read/386060/8766773
m plot_normals.m
function plot_normals(normalVectors, labels, varargin);
% Code for plotting the normals of the data.
%
% Can operate in two modes:
% In standalone mode, the normals are plotted at the origin with
www.eeworm.com/read/386060/8766789
m~ plot_data.m~
% plot_data(data, sampleLabels)
%
% The main function for plotting data generated by the GPCA algorithm.
%
% Can handle two or three dimensional data.
%
% Can also display a set of normal vectors on t