代码搜索：车辆识别
找到约 4,536 项符合「车辆识别」的源代码
代码结果 4,536
www.eeworm.com/read/407605/11413829
_c rtc._c
#include
#include
#ifndef uchar
#define uchar unsigned char
#define uint unsigned int
#endif
#define SD2303 0x64 //SD2303器件IIC识别码
uchar F_Flag;
uchar Table[10]={0
www.eeworm.com/read/157630/11680194
m svcplot.m
function svcplot(X,Y,ker,alpha,bias,par)
%---------S200502106 郑黎方 ---------
%画图
%适用于2维特征，两类情况识别
%
% [x,y,z]=svcplot(X,Y,ker,alpha,bias,par)
%
% 输入参数:同svm168.m
%
if (na
www.eeworm.com/read/156854/11760661
_c rtc._c
#include
#include
#ifndef uchar
#define uchar unsigned char
#define uint unsigned int
#endif
#define SD2303 0x64 //SD2303器件IIC识别码
uchar F_Flag;
uchar Table[10]={0
www.eeworm.com/read/150095/12312572
m getbluedatafromseq.m
%从BlueSequence构建训练和识别数据,第二步做的工作
clear;
load BlueNeualNetwork.txt pn -mat; %载入阶数
load BlueSequence.txt; %载入蓝球的数据序列
pall=size(BlueSequence,2); %得到序列总大小
%
www.eeworm.com/read/227521/14421678
m mainar.m
function [dv,wnv]=mainar(order,t,SNR)
%参数识别主函数
%=========================
%获得信号并进行标准化处理
y=signal(t);
y0=mean(y);
vy=std(y);
y=(y-y0)./vy;
%=========================
%在已知信号中加白噪声
%sigPower = s
www.eeworm.com/read/222067/14708498
err opendata.err
if not Used(ClassWorkArea,ClassTab) Then
第 4 行发生错误: 参数太多。
Use Data\Class In ClassWorkArea ALIAS ClassTab exel
第 5 行发生错误: 命令中含有不能识别的短语或关键字。
if not Used(HouseWorkArea,HouseTab) Then
第 8 行发生错误: 参数太多。
Us
www.eeworm.com/read/218774/14907099
_c rtc._c
#include
#include
#ifndef uchar
#define uchar unsigned char
#define uint unsigned int
#endif
#define SD2303 0x64 //SD2303器件IIC识别码
uchar F_Flag;
uchar Table[10]={0
www.eeworm.com/read/7755/132818
_c rtc._c
#include
#include
#ifndef uchar
#define uchar unsigned char
#define uint unsigned int
#endif
#define SD2303 0x64 //SD2303器件IIC识别码
uchar F_Flag;
uchar Table[10]={0
www.eeworm.com/read/11330/227783
_c rtc._c
#include
#include
#ifndef uchar
#define uchar unsigned char
#define uint unsigned int
#endif
#define SD2303 0x64 //SD2303器件IIC识别码
uchar F_Flag;
uchar Table[10]={0
www.eeworm.com/read/13911/286990
m svcplot.m
function svcplot(X,Y,ker,alpha,bias,par)
%---------S200502106 郑黎方 ---------
%画图
%适用于2维特征，两类情况识别
%
% [x,y,z]=svcplot(X,Y,ker,alpha,bias,par)
%
% 输入参数:同svm168.m
%
if (na