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本文对LMK算法用于Lp(1≤p≤2)反褶积作了实验和分析,结果说明:①用自适应LMK算法比现存的其它Lp反褶积算法简单。②对大多数情况取P=1.5可得到较好的效果③当p≥1.5时收敛点与p=2时的极小点之间没有另外的局部极小点。
In this paper, the experiment and analysis of LMK algorithm for Lp (1≤p≤2) deconvolution are carried out. The results show that: (1) The adaptive LMK algorithm is simpler than the existing Lp deconvolution algorithm. ② P = 1.5 in most cases can get better results ③ When p ≥ 1.5, there is no other local minimum point between the convergence point and the minimum point when p = 2.