代码搜索：Array Signal Processing
找到约 10,000 项符合「Array Signal Processing」的源代码
代码结果 10,000
www.eeworm.com/read/166938/9988442
m signal_denoising1.m
load leleccum;
indx = 1:1024;
x = leleccum(indx);
% 产生含噪信号
init=2055615866;
randn('seed',init);
nx = x + 18*randn(size(x));
% 获取消噪的阀值
[thr,sorh,keepapp] = ddencmp('den','wv',nx);
% 对信
www.eeworm.com/read/166938/9988445
m signal_denoising3.m
load leleccum;
indx = 1:1024;
x = leleccum(indx);
% 产生含噪信号
init=2055615866;
randn('seed',init);
nx = x + 18*randn(size(x));
[c,l]=wavedec(nx,3,'db5');
%设置尺度向量
n=[1,2,3];
%设置阀值向量
p=[120,
www.eeworm.com/read/166938/9988448
m signal_denoising2.m
load leleccum;
indx = 1:1024;
x = leleccum(indx);
% 产生含噪信号
init=2055615866;
randn('seed',init);
nx = x + 18*randn(size(x));
%用小波函数 'db6'对信号进行3层分解
[c,l] = wavedec(nx,3, 'db6');
%估计尺度1的噪
www.eeworm.com/read/166938/9988460
m signal_compression2.m
load nelec;
indx = 1:1024;
x = nelec(indx);
%用小波函数haar对信号进行5层分解
[c,l] = wavedec(x,5,'haar');
%获取信号压缩的阀值
[thr,nkeep] = ddencmp('cmp','wv',x);
%对信号进行压缩
xd = wdencmp('gbl',c,l,'haar',5,thr,'
www.eeworm.com/read/166938/9988463
m signal_separation1.m
load noissin;
x = noissin;
figure(1);
subplot(611);
plot(x);
ylabel('x');
% 使用db5小波对信号进行5层分解
[c,l]=wavedec(x,5,'db5');
for i=1:5
% 对分解的第5层到第1层的低频系数近行重构
a = wrcoef('a',c,l,'db5',6-i)
www.eeworm.com/read/166938/9988475
m signal_compression1.m
load nelec;
indx = 1:1024;
x = nelec(indx);
%用小波函数haar对信号进行3层分解
[c,l] = wavedec(x,3,'haar');
alpha = 1.5;
%获取信号压缩的阀值
[thr,nkeep] = wdcbm(c,l,alpha)
%对信号进行压缩
[xd,cxd,lxd,perf0,perf
www.eeworm.com/read/166938/9988476
asv signal_denoising3.asv
load leleccum;
indx = 1:1024;
x = leleccum(indx);
% 产生含噪信号
init=2055615866;
randn('seed',init);
nx = x + 18*randn(size(x));
[c,l]=wavedec(nx,3,'db5');
%设置尺度向量
n=[1,2,3];
%设置阀值向量
p=[120,
www.eeworm.com/read/166938/9988479
m signal_separation2.m
load trsin;
x = trsin;
subplot(711);
plot(x);
axis tight;
ylabel('x');
% 使用db5小波对信号进行6层分解
[c,l]=wavedec(x,6,'db5');
for i=1:6
% 对分解的第6层到第1层的低频系数近行重构
a = wrcoef('a',c,l,'db5',7-i);
www.eeworm.com/read/166938/9988480
m signal_denoising4.m
load leleccum;
indx = 1:1024;
x = leleccum(indx);
% 产生含噪信号
init=2055615866;
randn('seed',init);
nx = x + 18*randn(size(x));
% 将信号nx用小波函数sym5分解到第5层
% 用minimaxi阀值选择对系数进行处理，消除噪声信号
lev = 5;
x
www.eeworm.com/read/361166/10065422