Sparse Signal Reconstruction Based on Iterative Smoothed lo Norm Minimization.

Compressed Sensing (CS) is a new framework for simultaneous sensing and compression, and how to reconstruct sparse signal form limited measurements is the key problem in CS. In this paper, a novel method called Iterative Smoothed lo -norm (ISL0) is proposed for sparse signal reconstruction. This method estimates a support set l from a current reconstruction and obtains a new reconstruction by solving the minimization problem based on the support set l, and it iterates these two steps for a small number of times. Simulation results show that the proposed method needs fewer measurements than existing methods, while needing the low computational cost. [ABSTRACT FROM AUTHOR]

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