代码搜索:plot
找到约 10,000 项符合「plot」的源代码
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www.eeworm.com/read/340486/12153642
notes
DEMO01 - Model Plot
This demo produces a plot of the model and the quits. Only 4 records are
required in file PARAM1 for this run....
syncline :mo
www.eeworm.com/read/340486/12153682
notes
DEMO07 - Ray Plot - Listing
Here we are back in downhole mode (Record 7) with 3 source
locations (see file swell2), we have asked for
a reflection from interface 2 (Record 19), for a
www.eeworm.com/read/340481/12154789
param
ftdata : name of time data file
n : plot wavelet only?
model1 : name of the model file
4 :# interfaces in
www.eeworm.com/read/151940/12160104
m 模板匹配实验.m
clear
%图像预处理
A=imread('3.bmp');% 读入图像
%imshow(A);%显示原始图像
B=imcrop(A,[170 15 500 540]);%剪裁图像
%imshow(B);%显示剪切后图像
C=medfilt2(B,[3 3]);% 3*3二维中值滤波
%imshow(C);%显示滤波后图像
D=imadjust(C,[0.3 0.75],[]);
www.eeworm.com/read/340262/12168527
txt 234.txt
2代小波示意程序
2维小波变换经典程序
Daubechies小波基的构造
采用多孔trous算法(undecimated wavelet transform)实现小波变换
平移变换平移法(cycle_spinning)消除gibbs效应
提升法97经典程序
消失矩作用的程序
小波插值与小波构造
小波滤波器构造和消噪程序
小波谱分析mallat算法经典程序
2代小波示
www.eeworm.com/read/253950/12174236
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/253939/12176501
m holder.m
function h=holder(tfr,f,n1,n2,t,pl)
%HOLDER Estimate the Holder exponent through an affine TFR.
% H=HOLDER(TFR,F,N1,N2,T) estimates the Holder exponent of a
% function through an affine time-frequenc
www.eeworm.com/read/151751/12177282
m 6-18.m
L = linspace(0,2.*pi,6);
xv = cos(L)';yv = sin(L)';
xv = [xv ; xv(1)];
yv = [yv ; yv(1)];
%设定多边形
x = randn(250,1);
y = randn(250,1);
www.eeworm.com/read/253872/12179325
m nicholsfr.m
function varargout = nicholsFr(F, Q, w, delay)
% [gain, phase, w] = bodeFr(F, Q, w, delay)
% Nichols diagram of a fractional plant. Paramter w may be a vector with the
% frequencies of the plot (
www.eeworm.com/read/340084/12182847
m test.m
clf(figure(1));clf(figure(2));
clear
for i=1:10
[EMinB(i,:),HInd(i,:),HTar,w]=main();
end
[E,place]=min(EMinB(:,200));
clf(figure(1));clf(figure(2));
figure(1)
plot(w/pi,abs(HInd(place,:)),