This article studies the class of distributions obtained by subordinating L´evy
processes and L´evy bases by independent subordinators and meta-times. To do
this we derive properties of a suitable mapping obtained via L´evy mixing. We
show that our results can be used to solve the so-called recovery problem for
general L´evy bases as well as for moving average processes which are driven by
subordinated L´evy processes.