  It is known that results on universal sampling discretization of the square
norm are useful in sparse sampling recovery with error measured in the square
norm. In this paper we demonstrate how known results on universal sampling
discretization of the uniform norm and recent results on universal sampling
representation allow us to provide good universal methods of sampling recovery
for anisotropic Sobolev and Nikol'skii classes of periodic functions of several
variables. The sharpest results are obtained in the case of functions on two
variables, where the Fibonacci point sets are used for recovery.
