how do i use Compressive sensing to recover my signal?

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Kel
Kel on 27 Mar 2014
Edited: Walter Roberson on 10 May 2016
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))

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Answers (2)

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

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