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Identifiability and Joint Recovery of a Structured Signal Ensemble From Sub-Nyquist Samples
Efficient acquisition of correlated continuous-time signals is critical in applications such as distributed sensor networks and array processing. However, existing correlation models often fail to capture the shared structure of physical signals measured in close proximity. In this paper, we model e
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