these techniques and really what is the key difference between the compressed sensing techniques you see in the in the top and those here at the bottom so the ones in the top they effectively use generic priors sparsity low ranked they're not really data-driven priors whereas the techniques in the bottom they effectively try to learn the price from the data and try to improve our acquisition in that bad sense so just want to quickly show you the problem formulation we have we have effectively our case based measurements so all our