The Shannon-Whittaker Sampling Theorem states that a band-limited signal can be reconstructed from its sample values on a uniformly spaced lattice. Erasures can occur when some of the sample values are lost or corrupted. We aim to recover the signal despite these erased samples. One such algorithm to accomplish this is called Reduced Direct Inversion. We provide error bounds and supporting experiments for this algorithm.
