Steady-state mean-square deviation analysis of improved normalized subband adaptive filter
Steady-state mean-square deviation analysis of improved normalized subband adaptive filter
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DOI：
10.1016/j.sigpro.2014.06.026
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Jae Jin Jeong;Keunhwi Koo;Gyogwon Koo;Sang Woo Kim
中科院分区：
文献类型：
--
作者：
Jae Jin Jeong;Keunhwi Koo;Gyogwon Koo;Sang Woo Kim
为了提高归一化子带自适应滤波器（NSAF）的稳态均方差（MSD）性能，最近提出了一种新的最小化准则--改进的NSAF（INSAF）。然而，没有研究INSAF的稳态MSD分析。因此，本文提出了一种基于权误差向量替换过去权误差向量的INSAF算法稳态MSD分析的一般解决方案。仿真结果表明，我们的理论结果与计算机模拟结果在各种环境下密切相关。
A new minimization criterion for the normalized subband adaptive filter (NSAF), which is called improved NSAF (INSAF), was introduced recently to improve the performance of the steady-state mean-square deviation (MSD). However, the steady-state MSD analysis of the INSAF was not studied. Therefore, this paper proposes a general solution of steady-sate MSD analysis of the INSAF algorithm, which is based on the substitution of the past weight error vector in the weight error vector. The simulation shows that our theoretical results correspond closely with the computer simulation results in various environments.