代码搜索:matlab RFID
找到约 10,000 项符合「matlab RFID」的源代码
代码结果 10,000
www.eeworm.com/read/317000/13512449
url matlab%d0%c5%ba%c5%b4%a6%c0%ed%cf%ea%bd%e2_0.url
[DEFAULT]
BASEURL=file://C:\WINNT\web\ftp.htt
[InternetShortcut]
URL=ftp://yanxuebbs:yanxuebbs@matwav.vicp.net/oldftp/document/matlab/matlab%D0%C5%BA%C5%B4%A6%C0%ED%CF%EA%BD%E2_0/
Modified=009F9C5
www.eeworm.com/read/316047/13531084
m c6optm1.m
function y=c6optml(x)
assignin('base','Z1',x(1)); assignin('base','P1',x(2));
assignin('base','Z2',x(3)); assignin('base','P2',x(4));
assignin('base','K',x(5)); % 对 MATLAB 工作空间变量赋值
[t,xx,yy]=sim
www.eeworm.com/read/316047/13531101
m c6optm2.m
function y=c6optm2(x)
assignin('base','Z1',x(1)); assignin('base','P1',x(2));
assignin('base','Z2',x(3)); assignin('base','P2',x(4));
assignin('base','K',x(5)); % 对 MATLAB 工作空间变量赋值
[t,xx,yy]=sim
www.eeworm.com/read/316047/13531302
m c6optm3.m
function y=c6optm3(x)
assignin('base','Z1',x(1)); assignin('base','P1',x(2));
assignin('base','Z2',x(3)); assignin('base','P2',x(4));
assignin('base','K',x(5)); % 对 MATLAB 工作空间变量赋值
[t,xx,yy]=sim
www.eeworm.com/read/315739/13537162
txt 说明.txt
”BP.m“文件是BP神经网络整个模型的源程序;
“train.fig”是训练时最后得到的图片;
“程序运行的人口数量原始数据.fig”是预测结果绘制的图;
“程序运行时<mark>matlab</mark>命令窗口的内容.txt”是运行程序是在<mark>matlab</mark>命令窗口显示的东西;
“程序运行完产生的数据.mat”是程序运行完毕产生的数据。
.bmp文件和.fig文件一样 ...
www.eeworm.com/read/315263/13547764
m radarsimulation.m
function varargout = radarSimulation(varargin)
% RADARSIMULATION M-file for radarSimulation.fig
% RADARSIMULATION, by itself, creates a new RADARSIMULATION or raises the existing
% single
www.eeworm.com/read/315071/13552897
m t1.m
function varargout = t1(varargin)
% T1 M-file for t1.fig
% T1, by itself, creates a new T1 or raises the existing
% singleton*.
%
% H = T1 returns the handle to a new T1 or the han
www.eeworm.com/read/314287/13569728
dat bookinfo.dat
[General Information]
书名=小波分析理论与MATLAB7实现
作者=
页数=471
SS号=0
出版日期=
www.eeworm.com/read/313963/13577729
m ip_02_05.m
% MATLAB script for Illustrative Problem 5, Chapter 2.
clear
echo on
% first part
Sx1=[ones(1,32)];
Rx1=ifft(Sx1,32);
% second part
Sx2=[ones(1,16),zeros(1,224),ones(1,16)];
Rx2=ifft(Sx2,256)
www.eeworm.com/read/313963/13577840
m ip_05_07.m
% MATLAB script for Illustrated Problem 5.7.
clear
echo on
n0=.5*randn(100,1);
n1=.5*randn(100,1);
n2=.5*randn(100,1);
n3=.5*randn(100,1);
x1=1.+n0;
y1=n1;
x2=n2;
y2=1.+n3;
plot(x1,y1,'o',x