Tensor Completion from Regular Sub-Nyquist Sampleshttps://educationweek.ieee.org/wp-content/uploads/gravity_forms/8-fddca62a7a09ecdeb33644ea4fb6f583/2022/03/Screenshot-2022-03-09-1101061.jpg768423ieeeeduweekieeeeduweekhttps://secure.gravatar.com/avatar/cd5d0dea68aa71342bc8e4579c90502d?s=96&d=mm&r=g
Signal sampling and reconstruction is a fundamental engineering task at the heart of signal processing. The celebrated Shannon-Nyquist theorem guarantees perfect signal reconstruction from uniform samples, obtained at a rate twice the maximum frequency present in the signal. Unfortunately, a large number of signals of interest are far from being band-limited. This motivated research on reconstruction from sub-Nyquist samples, which mainly hinges on the use of random/incoherent sampling procedure
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