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****************************************************************** *** N(8-1024) points FFT Program *** ****************************************************************

n=1000; x = randint(n,1); %产生信源. h = modem.pskmod (4); %产生调制句柄 y = modulate(h,x); %对信号进行调制 g = modem.pskdemod (h) %产生解调句柄 z = demodulate(g,y); %进行解调

<mark>N</mark> = 128; %抽头数 Dle<mark>n</mark> = 1024; %输出长度 Step = 0.005; %步长 %注意：需要给出输入data和参考信号s(<mark>n</mark>)才能运行本程序 w=zeros(<mark>N</mark>,1); %<mark>N</mark>为抽头个数 p=(1/delta)*eye(<mark>N</mark>); %delta为正则化参数 for <mark>n</mark>= <mark>N</mark>:Dle<mark>n</mark> u(1:<mark>N</mark>)=data(<mark>n</mark>:-1:<mark>n</mark> ...

n = 128; %哈达码矩阵的阶数 n1 = log2(n); W = zeros(n,n); W(1,1) = 1; for t = 1 : n1 %产生哈达码矩阵 for i = 1 : n for j = 1 : n if (i

n = 7; %码长 k = 4; %信息位长 A = [ 1 1 1;1 1 0;1 0 1;0 1 1 ]; G = [ eye(k) A ]; %生成矩阵 H = [ A' eye(n-k) ]; %校验矩阵 %编码 msg = [ 1 1 1 1 ]; %信息比特 code = mod(ms

%n=2 %设置参数边界 bounds = ones(2,1)*[-1 1]; %遗传算法优化 [p,endPop,bestSols,trace]=ga(bounds,'rosenbrockMin'); %性能跟踪 plot(trace(:,1),trace(:,3),'b-') hold on plot(trace(:,1),trace(:,2),'r-') xlabe

n=7; m=10; p=0.8; % 生成满足KKT条件的随机数据 A=rand(m,n); c=rand(n,1); d=rand(n,1); G=diag(d); ydes=rand(m,1)-p; act=( ydes>p ); ydes(act)=0*ydes(act); eq=( ydes

n = -5:0.1:5; a = radbas(n); plot(n,a)

n = -5:0.1:5; a = purelin(n); plot(n,a)

n = -5:0.1:5; a = tansig(n); plot(n,a)