Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm
Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm
复制标题
改进的多带结构子带自适应滤波器算法的瞬态和稳态分析
DOI：
10.1049/iet-spr.2015.0020
复制
发表时间：
2015-10
影响因子：
1.7
通讯作者：
Jun Yang
中科院分区：
文献类型：
--
作者：
Ming Wu;Peifeng Ji;Zheng Kuang;Jun Yang
提出了一种改进的多带结构子带自适应滤波算法。在这篇论文中，他们首先提出了两种无延迟结构的IMSAF算法，以消除信号路径中的延迟，然后，他们研究了瞬态和稳态行为的IMSAF算法的基础上的能量守恒参数和paraunitary条件施加在分析和综合滤波器组。该分析不需要输入信号的模型。仿真结果表明，所提出的无时延IMSAF算法比传统的无时延子带自适应滤波算法具有更快的收敛速度。IMSAF算法的理论分析与计算机仿真结果吻合较好。
The authors previously proposed an improved multiband-structured subband adaptive filter (IMSAF) algorithm. In this contribution, they first present two delayless structures of the IMSAF algorithm to remove delay in the signal path. Then, they study the transient and steady-state behaviour of the IMSAF algorithms based on the energy conservation arguments and paraunitary condition imposed on the analysis and synthesis filter banks. The analysis does not require a model for the input signal. Simulation results show that the proposed delayless IMSAF algorithm has a faster convergence rate than the traditional delayless subband adaptive filtering algorithms. Theoretical analysis of the IMSAF algorithm is in good agreement with computer simulation results.