measurements are because we're making frequency measurements or complex values so the images we typically see are just the magnitude of those complex numbers but our measurements are complex valued and the image we want to recover is also complex valued and in fact we our measurements are related by to the image through a undersampled for you including matrix so this effectively under samples your measurement space and applies a Fourier transform and of course our acquisition noise and the under samples for your operation if you want to write