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/328848/12998715
jpg ber-plot.jpg
www.eeworm.com/read/141545/13002316
cpp plot_arr.cpp
#include
#include
const int size = 5;
class plot
{
int x, y;
public:
plot(int i, int j)
{
if(i>size)
i = size;
if(i
www.eeworm.com/read/140957/13050744
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/140957/13050755
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/140957/13050855
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/140957/13050867
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/140851/13058596
m plot_ellipse.m
% PLOT_ELLIPSE
% h=plot_ellipse(x,y,theta,a,b)
%
% This routine plots an ellipse with centre (x,y), axis lengths a,b
% with major axis at an angle of theta radians from the horizontal.
%
% Aut
www.eeworm.com/read/140851/13058655
m plot_matrix.m
function plot_matrix(G, bw)
% PLOT_MATRIX Plot a 2D matrix as a grayscale image, and label the axes
%
% plot_matrix(M)
%
% For 0/1 matrices (eg. adjacency matrices), use
% plot_matrix(M,1)
if
www.eeworm.com/read/140851/13058914
m plot_polygon.m
function out=plot_polygon(p, args, close_loop)
% PLOT_POLYGON
% function handle=plot_polygon(p, args, close_loop)
% p(1,i), p(2,i) are the x/y coords of point i.
% If non-empty, args are passed th
www.eeworm.com/read/327235/13093122
m plot_laplace.m
function plot_laplace( x,params,hAx,plot_num,fontsize )
% plot the laplace distribution with parameter "u" and "b"
%
% the distribution is given by:
%
% p(x) = 1/(2*b)*exp(-abs(x-u)/b)
%