SAMPLING SIGNALS FROM A UNION OF SUBSPACES

Sampling is a cornerstone of signal processing that allows real-life signals in the continuous domain to be represented and processed in the discrete-domain by computers via measured samples. This research aims to fundamentally extend the existing sampling theory by considering signals from a union of subspaces instead of a single vector space.