【摘要】 在块正交匹配追踪算法中,候选集匹配原子块的选择策略对信号重建具有重要作用,但是该算法在迭代选择原子块的过程中,每次选择当次最优迭代的原子块,并不能保证最终迭代性能是最优的。为此,提出一个基于前向预测的最优匹配原子块选择策略的块正交匹配追踪算法,通过预测原子块在未来迭代过程中的性能选择最优匹配的原子块。实验结果表明,与块正交匹配追踪算法相比,该算法的重建误差随前向预测参数的增大而减小。更多还原

【Abstract】 A set of candidate matching selection strategy with atomic blocks is crucial to the performance of the signal reconstruction for Group Orthogonal Matching Pursuit(GOMP)algorithm. However,in the process of iteration selection for atomic blocks,when select the local optimum atomic block in each iteration,it cannot guarantee that the final iteration is optimal performance. So this paper proposes the GOMP algorithm based on Look Ahead(LAGOMP). The selection of atomic block in the current iteration depends on its effect on the future iterations. Experimental results show that,the proposed algorithm performs much better than GOMP algorithm for the reconstruction error decreases with the increases to the forward prediction parameters.更多还原