A Theoretical Question in the Optimal Design of Matrix Decomposition Based FIR Filter

A Theoretical Question in the Optimal Design of Matrix Decomposition Based FIR Filter
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基于矩阵分解的FIR滤波器优化设计的一个理论问题

DOI:
10.1109/access.2019.2961944
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发表时间:
2020
期刊:
影响因子:
3.9
通讯作者:
Rong Zeng
Rong Zeng
中科院分区:
计算机科学3区
文献类型:
--
作者:
Hao Wang;Yi Jin;Xinmin Cheng;Rong Zeng

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基于矩阵分解(MD)的有限脉冲响应(FIR)滤波器是一种低复杂度的FIR滤波器。经测试,信任域迭代梯度搜索(TR-IGS)算法可以有效优化MD-FIR滤波器的系数。该算法解决了原始系数优化问题的凸逼近问题。在本研究中,我们处理TR-IGS的理论终止点与原始系数优化问题的最优解之间的关系。
The matrix decomposition (MD) based finite impulse response (FIR) filter is a low-complexity FIR filter. It has been tested the coefficients of the MD-FIR filter can be effectively optimized by the trust-region-iterative-gradient-searching (TR-IGS) algorithm. This algorithm solves the convex-approximation-problem of the original coefficients optimization problem. In this study, we deal with the relationship between the theoretical termination point of the TR-IGS and the optimal solution of the original coefficients optimization problem.
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