准厄米多项式矩阵的序控多移位SBR2算法

Zeliang Wang, J. McWhirter, J. Corr, Stephan Weiss
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引用次数: 5

摘要

本文提出了一种控制多项式矩阵阶增长的新方法,该方法是作者最近提出的用于计算拟厄米矩阵的多项式矩阵特征值分解(PEVD)的多重移位二阶顺序最佳旋转(MS-SBR2)算法。实际上,所提出的方法引入了一种新的初级延迟策略,该策略在每次迭代中保持所有行(列)在同一方向上的移位,从而使我们能够通过选择确保非零系数更接近零滞后平面的移位来灵活地控制多项式阶增长。仿真结果表明,在MS-SBR2算法中采用这种定向延迟策略可以实现多项式矩阵的进一步降阶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Order-controlled multiple shift SBR2 algorithm for para-Hermitian polynomial matrices
In this work we present a new method of controlling the order growth of polynomial matrices in the multiple shift second order sequential best rotation (MS-SBR2) algorithm which has been recently proposed by the authors for calculating the polynomial matrix eigenvalue decomposition (PEVD) for para-Hermitian matrices. In effect, the proposed method introduces a new elementary delay strategy which keeps all the row (column) shifts in the same direction throughout each iteration, which therefore gives us the flexibility to control the polynomial order growth by selecting shifts that ensure non-zero coefficients are kept closer to the zero-lag plane. Simulation results confirm that further order reductions of polynomial matrices can be achieved by using this direction-fixed delay strategy for the MS-SBR2 algorithm.
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