Sparsity-based estimation bounds with corrupted measurements

In typical Compressed Sensing operational contexts, the measurement vector y is often partially corrupted. The estimation of a sparse vector acting on the entire support set exhibits very poor estimation performance. It is crucial to estimate set Iuc containing the indexes of the uncorrupted measures. As Iuc and its cardinality |Iuc|