The training code of SCN model about scn_matlab HOT 2 CLOSED

Dear @huangzehao
I have some problems in the training of SCN model when I have read the test code of SCN_Matlab. In the original LISTA paper (Learning Fast Approximation of sparse coding), W an S must satisfy the relationship: W=(1/L)D^(T) and S=I-(1/L)D^(T)D. But I found that the learned weight model.usd1 and model.wd don't satisfy this relationship. It is means that you train W and S as two completely irrelevant matrix? Dose W and S are two irrelevant or relevant matrix? Does the two irrelevant or relevant matrix will affect the final results?

from scn_matlab.

Hi! The constraint you said is in ISTA, not LISTA. W and S are learned by back-propagation algorithms. Read LISTA paper carefully and you can get it.
I have a work about SCN and I submitted it to a conference. But there is not result now. So I am sorry, I can't share my training code now.
But actually it's easy to implement the training code. The only difficult is how understand the network structure from original paper. I show it in my code "Demo_SR_Conv.m". Read this code and I hope it's helpful for you.

from scn_matlab.