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 I uc containing the indexes of the uncorrupted measures. As I uc and its cardinality |I uc |