代码搜索：衰落信道
找到约 1,714 项符合「衰落信道」的源代码
代码结果 1,714
www.eeworm.com/read/285546/4049664
m primepe.m
function[sig_err_rate]=PrimePe(snr_in_dB)
E=1;
snr=10^(snr_in_dB/10);
sgma=sqrt((E/snr)/2);
%桢个数
N=10;
%信息序列
signal=round(rand(1,N*260));
%经信道加高斯燥声
u=2*signal-1;
u=sign(u+sgma*randn(size(u))
www.eeworm.com/read/285546/4049670
m t_fs_ex_de.m
%TCH/FS信道的外编码解码
function [d,tag]=T_FS_EX_DE(u)
%%%%%%%%%%%%%%%%%%%%%%
%反重排和去尾比特
temp=zeros(1,53);
for k=1:25
temp(2*k-1)=u(k);
temp(2*k)=u(186-k);
end
temp(51:53)=ones(1,3);
temp(54:
www.eeworm.com/read/383750/2614485
m primepe.m
function[sig_err_rate]=PrimePe(snr_in_dB)
E=1;
snr=10^(snr_in_dB/10);
sgma=sqrt((E/snr)/2);
%桢个数
N=10;
%信息序列
signal=round(rand(1,N*260));
%经信道加高斯燥声
u=2*signal-1;
u=sign(u+sgma*randn(size(u))
www.eeworm.com/read/376218/2711911
m t_fs_ex_de.m
%TCH/FS信道的外编码解码
function [d,tag]=T_FS_EX_DE(u)
%%%%%%%%%%%%%%%%%%%%%%
%反重排和去尾比特
temp=zeros(1,53);
for k=1:25
temp(2*k-1)=u(k);
temp(2*k)=u(186-k);
end
temp(51:53)=ones(1,3);
temp(54:
www.eeworm.com/read/376218/2711955
m primepe.m
function[sig_err_rate]=PrimePe(snr_in_dB,singal)
E=1;
snr=10^(snr_in_dB/10);
sgma=sqrt((E/snr)/2);
%桢个数
N=10;
%信息序列
signal=round(rand(1,N*260));
%经信道加高斯燥声
u=2*signal-1;
u=sign(u+sgma*randn(s
www.eeworm.com/read/392452/8341810
m lms.m
% simulation of Adaptive Equalization LMS
clear all
N=2000;
K=5;%%%抽头个数为2*K＋1
% W=3.1
% n=[1,2,3];
% actual_isi=0.5*(1+cos(2*pi*(n-2)/W));
h=[1,zeros(1,6),0.60346,zeros(1,5),0.62736];%%%10Km信道（
www.eeworm.com/read/183673/9145742
m suzuki_generator.m
% 函数Suzuki_generator(N1,N2,N3,variance,fmax,fc,kc,sigma3,m3,A_Los,f_Los,T_interval,T)
% 功能：根据需要采用MED、MEA、MCM、MSEM、MEDS和JM中的任何一种方法，来生成既考虑小尺度衰落（莱斯分布），
% 又考虑大尺度阴影（对数正态分布）的确定型Suzuki过程
% 输入参数说明：
%
www.eeworm.com/read/174563/9581629
m suzuki_generator成确定型suzuki过程.m
% 函数Suzuki_generator(N1,N2,N3,variance,fmax,fc,kc,sigma3,m3,A_Los,f_Los,T_interval,T)
% 功能：根据需要采用MED、MEA、MCM、MSEM、MEDS和JM中的任何一种方法，来生成既考虑小尺度衰落（莱斯分布），
% 又考虑大尺度阴影（对数正态分布）的确定型Suzuki过程
% 输入参数说明：
%
www.eeworm.com/read/285979/8796006
m test_rayleigh_pdf.m
function y = test_rayleigh_pdf(r)
%r为信道幅度绝对值！
sigma_u = sqrt(1/2);
figure
%[x,pdf,cdf] = pdf_cdf_gen(abs(r),40);
[x,pdf,cdf] = pdf_cdf_gen(r,80);
pdf_ideal =(x.*(exp(-(x.*x)./(2*sigma_u*si
www.eeworm.com/read/285054/8873285
m test_rayleigh_pdf.m
function y = test_rayleigh_pdf(r)
%r为信道幅度绝对值！
sigma_u = sqrt(1/2);
figure
%[x,pdf,cdf] = pdf_cdf_gen(abs(r),40);
[x,pdf,cdf] = pdf_cdf_gen(r,80);
pdf_ideal =(x.*(exp(-(x.*x)./(2*sigma_u*si