On the Foundation of Sparsity Constrained Sensing- Part I: Sampling Theory and Robust Remainder Problem

In the first part of the series papers, we set out to answer the following fundamental question: for constrained sampling, what kind of signal can be uniquely represented or recovered by the (distributed) discrete sample sequence(s) obtained? We term this study as sparsity constrained sensing or spa...

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