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Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm

机译: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

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摘要

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.
机译:作者先前提出了一种改进的多频带结构子带自适应滤波器(IMSAF)算法。为此,他们首先提出了IMSAF算法的两个无延迟结构,以消除信号路径中的延迟。然后,他们基于施加在分析和综合滤波器组上的节能参数和超单位条件,研究了IMSAF算法的瞬态和稳态行为。分析不需要输入信号的模型。仿真结果表明,与传统的无延迟子带自适应滤波算法相比,所提出的无延迟IMSAF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良好。

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