Abstract：The weighted Ieast -square iteration algorithm (WLSI algorithm) which is advanced in Iiteratures(5)and (6) can be changed into weight- ed least-square matrix inversion iteration algorithm, which is called matrix inversion iteration algorithm (MII algorithm) for short, This algorithm is compact, and its program is concise.The calculation speeds up when nf>（ny）1/2 This paper only discusses L1 norm case because in processing usual signals (mixed-phase, minimum-phase and zero -phase signals),L1 norm has batter adaptability than L2 norm (e, g, least -square predictive deconvolution) does, which has been proved theoretically. The algorithm put forward in this paper is also useful to the case of Lp norm (0
收稿日期: 1987-09-29
引用本文:
李凤林, 王承曙. L1模反褶积的一种矩阵求逆迭代方法[J]. 石油地球物理勘探, 1988, 23(5): 523-532.
Li Fenglin, Wang Chengshu. The matrix inversion iteration method for L1 noran dcconvolution. OGP, 1988, 23(5): 523-532.
