代码搜索：visualize
找到约 488 项符合「visualize」的源代码
代码结果 488
www.eeworm.com/read/294611/8216547
m som_pieplane.m
function h=som_pieplane(varargin)
%SOM_PIEPLANE Visualize the map prototype vectors as pie charts
%
% h=som_pieplane(lattice, msize, data, [color], [s], [pos])
% h=som_pieplane(topol, data, [color],
www.eeworm.com/read/367875/9724824
m som_pieplane.m
function h=som_pieplane(varargin)
%SOM_PIEPLANE Visualize the map prototype vectors as pie charts
%
% h=som_pieplane(lattice, msize, data, [color], [s], [pos])
% h=som_pieplane(topol, data, [color],
www.eeworm.com/read/235928/14041396
m som_pieplane.m
function h=som_pieplane(varargin)
%SOM_PIEPLANE Visualize the map prototype vectors as pie charts
%
% h=som_pieplane(lattice, msize, data, [color], [s], [pos])
% h=som_pieplane(topol, data, [color],
www.eeworm.com/read/309003/3708350
m toon0231.m
% toon0231 -- Visualize Wavelet Xform
%
% Here we display a 2-d image (a stick figure)
% and its 2-d wavelet transform.
%
stick = Make2dSignal('StickFigure', 128);
%
clf; subplot(121);
Au
www.eeworm.com/read/192030/8410925
m kron.m
function Q = kron(P1,P2)
% KRON -- Kronecker product of matrix polynomials
%
% Q = kron(P1,P2)
%
% To visualize this, it helps to think of P1, P2 as matrices with
% polynomial entries,
www.eeworm.com/read/181830/9235784
m kron.m
function Q = kron(P1,P2)
% KRON -- Kronecker product of matrix polynomials
%
% Q = kron(P1,P2)
%
% To visualize this, it helps to think of P1, P2 as matrices with
% polynomial entries,
www.eeworm.com/read/160223/10555141
asv quake.asv
%% Loma Prieta Earthquake
% This demo shows how to analyze and visualize real-world earthquake data.
%
load quake
pause
g = 0.0980;
e = g*e;
n = g*n;
v = g*v;
delt = 1/200;
t = delt*(1:
www.eeworm.com/read/326313/13148664
m kron.m
function Q = kron(P1,P2)
% KRON -- Kronecker product of matrix polynomials
%
% Q = kron(P1,P2)
%
% To visualize this, it helps to think of P1, P2 as matrices with
% polynomial entries,
www.eeworm.com/read/228652/14371633
m kron.m
function Q = kron(P1,P2)
% KRON -- Kronecker product of matrix polynomials
%
% Q = kron(P1,P2)
%
% To visualize this, it helps to think of P1, P2 as matrices with
% polynomial entries,
www.eeworm.com/read/384512/8866115
m som_clplot.m
function h = som_clplot(sC,varargin)
%SOM_CLPLOT Visualize clustering.
%
% h = som_clplot(sC, [[argID,] value, ...])
% som_clplot(sM, part)
%
% som_clplot(sC);
% som_clplot(som_clstruct(Z))
%