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Order-controlled multiple shift SBR2 algorithm for para-Hermitian polynomial matrices

机译:准Hermitian多项式矩阵的阶数控制的多位移SBR2算法

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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.
机译:在这项工作中,我们提出了一种新的控制多项式矩阵的阶数增长的新方法,该方法由作者提出了用于计算多项式矩阵特征值分解(PEVD)的多项式二阶顺序最佳旋转(MS-SBR2)算法。准Hermitian矩阵。实际上,所提出的方法引入了一种新的基本延迟策略,该策略在每次迭代中都使所有行(列)移位保持相同方向,因此,通过选择确保非零系数的移位,我们可以灵活地控制多项式阶数增长保持更靠近零滞后平面。仿真结果证实,通过将方向固定的延迟策略用于MS-SBR2算法,可以实现多项式矩阵的进一步降阶。

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