Hi,

I am trying to use CompressedSensing package. I went through the examples in the documentation is as follows:

```
n=1000 #Signal Dimensions
m=400 #Measurement Dimension
k=100 #Approximate Sparsity
Signal = zeros(n) #Create a random sparse signal
Signal[int(rand(k)*(n-1)+1)] = randn(k)
MM = randn(m,n) #Create a random measurement matrix
Measurement = MM*Signal #Measure the signal using the measurement matrix
#Reconstruct using IRLS
Reconstruction = IRLS(MM,Measurement,verbose=true)
```

I want to use a function instead of MM, because the size of MM will be very large in my case. Then my code will be modified as

```
Measurement = measurement_function(Signal) #Measure the signal using the measurement function
```

Then I want to use that function for reconstruction of signal, something look like below:

```
Reconstruction = IRLS(measurement_function(),Measurement)
```

Will it be possible with CompressedSensing package?

Thanks in Advance!

Manu