清空筛选条件
清空筛选条件

how do i use Compressive sensing to recover my signal?

1 次查看（过去 30 天）
Kel
Kel 2014-3-27
编辑： Walter Roberson 2016-5-10
i have code below and i need to use compressive sensing to recover the signal from the random samples i have taken. can anyone help?
fo=4
fs=100
ts=1/fs
t=0:ts:1-ts
n=length(t)
y=2*sin(2*pi*fo*t)
plot(t,y)
numberOfSamplesToTake = 20;
a = randperm(numel(y));
sampleIndexes = a(1:numberOfSamplesToTake);
% Plot the samples;
ts = t(sampleIndexes)
ys = y(sampleIndexes)
plot(ts, ys, 'r*')
YfreqDomain=fft(ys)
stem(abs(YfreqDomain))

请先登录，再回答此问题。

回答（2 个）

Star Strider
Star Strider 2014-3-27
This Matlab Compressive Sensing Tutorial seems to have a number of resources.
Tinkul
Tinkul 2014-3-27
You can use l1-magic...

类别

在 Help Center 和 File Exchange 中查找有关 Discrete Fourier and Cosine Transforms 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by