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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.
Date of Publication: March 2008