Sampling Signals from a Union of Subspaces
The single linear vector space assumption is widely used in modeling the signal classes, mainly due to its simplicity and mathematical tractability. In certain signals, a union of subspaces can be a more appropriate model. This paper provides a new perspective for signal sampling by considering signals from a union of subspaces instead of a single space.