L-statistics based modification of reconstruction algorithms for compressive sensing in the presence of impulse noise

A modification of standard compressive sensing algorithms for sparse signal reconstruction in the presence of impulse noise is proposed. The robust solution is based on the L-estimate statistics which is used to provide appropriate initial conditions that lead to improved performance and efficient convergence of the reconstruction algorithms.