代码搜索:CMA

找到约 748 项符合「CMA」的源代码

代码结果 748
www.eeworm.com/read/391762/8378785

m cma.m

% Blind channel estimation/equalization % adpative CMA method in Fractional space % % Copyright: Xiaohua(Edward) Li, Assistant Professor % Department of Electrical and Computer Engineer
www.eeworm.com/read/376080/9332730

m cma.m

% 盲信道均衡CMA算法 clear all; clc N=12000;%数据点总数 SNRdB=25;%信噪比 Lf=11;%滤波器阶数=Lf + 1 % Lh=5;% 信道阶数 % Dy=round((Lf+Lh)/2) ; Dy=round((Lf+1)/2) ; % h = [0.9344-1.0311i 2.2483-1.6682i -1.0780 -0.2138i -
www.eeworm.com/read/164287/10119928

txt cma.txt

N=6000; %信息序列的长度 K=11; %11个抽头系数 %实数信道 %actual_isi=[0.05 -0.063 0.088 -0.126 -0.25 0.9047 0.25 0 0.126 0.038 0.088];%有ISI的信道响应 %复数信道 %actual_isi=[0.0410+0
www.eeworm.com/read/350501/10736235

m cma.m

%说明:CMA算法,性能由ISI表示 clc; clear all; close all; K=11;%抽头个数 delta=0.000015;%迭代步长因子 delta1=0.015;%迭代步长因子 Num_of_realizations=1;%学习次数 SNR=30;%输入信噪比 sgma=1;%输入信号功率 N=15000;%数据长度 d=1;%最小欧式距离 Fd=
www.eeworm.com/read/453712/7413998

m cma.m

clear all N=1000; L=12; m=4; %输入信号的长度 mu=0.00001; %设置迭代步长 %c=[-1 3 10 7 3 -1 -5 2]; %c=[0.2 0.5 1 -0.1]; %c=zeros(1,21);c(1
www.eeworm.com/read/397915/8016404

pdf cma.pdf

www.eeworm.com/read/332450/12757157

arc cma.arc

%_N_ABSTAND_KOLL_SPF ;$PATH=/_N_CMA_DIR ; ;=========================================================================== ;ABSTAND_KOLL.SPF ;Pfad: CMA.DIR (Herstellerzyklen) ; ;Version NBS 0001
www.eeworm.com/read/314092/13574873

m cma.m

function []=cma(Le) %本例计算均衡器长度与误码率的关系,信道是chan7的一段,h=C(20:40); sta=randn('state'); clc; P=1;%oversample ratio sgma=0.0562%.01;%.05;%0.001;%0.0562;%相当于20dB Lsh=6;%设定的信道长度 N=13;%N,表示累计的接收数据量; %
www.eeworm.com/read/311173/13634131

m cma.m

% Blind channel estimation/equalization % adpative CMA method in Fractional space % % Copyright: Xiaohua(Edward) Li, Assistant Professor % Department of Electrical and Computer Engineer
www.eeworm.com/read/149077/12405050

m cma.m

% uingrd@lycos.com %%%%%%%%%%%%%%%%%%%% % control settings %%%%%%%%%%%%%%%%%%%% Le = 2; %equlizer length N = 4000; % data length var_s1 = 1; % variance of signal