代码搜索:交通仿真

找到约 10,000 项符合「交通仿真」的源代码

代码结果 10,000
www.eeworm.com/read/322595/13375749

m test_sc2.m

x_time = 0.02; r=randint(1,1,1000);%产生随机数 sim('test_source1');%启动仿真数据源 data1=hilbert(FSK(1:8000));%希尔伯特变换 %=awgn(x,snr,'measured'); data=data1/sqrt(sum(real(data1).*real(data1)+imag(data1).*
www.eeworm.com/read/322595/13375784

asv test_sc2.asv

x_time = 0.02; r=randint(1,1,1000);%产生随机数 sim('test_source1');%启动仿真数据源 data1=hilbert(FSK(1:8000));%希尔伯特变换 %=awgn(x,snr,'measured'); data=data1/sqrt(sum(real(data1).*real(data1)+imag(data1).*
www.eeworm.com/read/321683/13400905

o myuart.o

XL H 3 areas C global symbols M myuart.c S push_gset1 Ref0000 S pop_gset1 Ref0000 A text size 88 flags 0 dbfile F:\全物理仿真\mega128\uart_0\myuart.c dbfunc e uart0_init 0 fV dbline FFFFFFFF 0 dbl
www.eeworm.com/read/321577/13403049

asv main.asv

%仿真《西北师范大学学报》的遗传主程序 %计算的染色体均方误差 fitness=8/sum(error.^2) % tic clear Popsize=20; P_mutation=0.1; P_cross=0.6; real chrom; real currentbest_value; m=25; %权值和阈值的初始化范围 chro
www.eeworm.com/read/321577/13403051

m main.m

%仿真《西北师范大学学报》的遗传主程序 %计算的染色体均方误差 fitness=8/sum(error.^2) % tic clear Popsize=40; P_mutation=0.1; P_cross=0.6; real chrom; real currentbest_value; m=25; %权值和阈值的初始化范围 chro
www.eeworm.com/read/319871/13441199

m exm09624_1.m

%exm09624_1.m InInit=simget('exm0953_1','InitialState') %获取模型窗对初始值的设置 [t,x,y]=sim('exm0953_1',100); %在模型内设置参数下进行仿真 opts=simset('InitialState',[120,0,0,0]); %初始值的重置 [tt,xx,yy]=sim('exm0953_1',
www.eeworm.com/read/319871/13441207

m exm09651_1.m

% exm09651_1.m 画普通状态轨迹 clf;hold on xx=[-2,1;-1,1;0,1;1,1;1,0;1,-1;1,-2]; %轨线起点 nxx=size(xx,1); %起点数 for k=1:nxx opts=simset('initialstate',[xx(k,1),xx(k,2)]); %设置仿真初值 [t,x,y]=sim(
www.eeworm.com/read/319335/13453594

m exm041022_1.m

%exm041022_1.m 利用fminsearch指令进行非线性参数估计 k_noise=0.3; %控制噪声水平 [x,y,STDY]=xydata(k_noise); %运行仿真数据产生程序,产生数据 a0=[1 1 1 1]; %被估参数的初试猜测 options=optimset('fminsearch'); %这步在MATLAB6.1
www.eeworm.com/read/316286/13525730

m input_b.m

function x=input_b(N,NL)%N为一个ofdm符号中的子符号个数,NL为一次仿真所包含的ofdm符号数 for i=1:NL input_0=rand(1,4*N); %输入的二进制数据序列 for j=1:4*N if input_0(j)>0.5
www.eeworm.com/read/313884/13580108

txt 说明.txt

3GPP LTE采用的信道仿真模型,目前在3GPP中的提案均采用这一种信道模型,源码是经过国外著名大学和公司联合完成的,极具珍藏价值。-3GPP LTE the channel simulation model, 3 GPP in the proposal were adopted this channel model. OSS was famous overseas universities a