Reconstruction of sparse signals is an important issue in compressed sensing.Typical algorithms for sparse signals are based on l1-norm optimization,which need more measurements.With minimizing lp-norm as the goal,combined with traditional penalty function optimization method,an iterative reconstruction algorithm for lp-norm optimization based on penalty function was proposed,which needed far less measurements than l1-norm optimization.Numerical results show that the proposed algorithm has good performance ...