...
首页> 外文期刊>Circuits and Systems II: Express Briefs, IEEE Transactions on >Combined-Step-Size Normalized Subband Adaptive Filter With a Variable-Parametric Step-Size Scaler Against Impulsive Interferences
【24h】

Combined-Step-Size Normalized Subband Adaptive Filter With a Variable-Parametric Step-Size Scaler Against Impulsive Interferences

机译:可变参数步长缩放器的抗脉冲干扰的组合步长归一化子带自适应滤波器

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The variable step-size normalized subband adaptive filter (NSAF) with a fixed parametric step-size scaler (SSS) results in a tradeoff between the fast convergence rate and small steady-state error, and needs to reset the algorithm to improve the tracking in abrupt change scenarios. Thus, a combinedstep-size NSAF with a variable-parametric SSS (VPSSS) is proposed in this brief to address these problems. In the proposed algorithm, an adaptive parameter with respect to the smallest L1-norm of the subband error vectors in a window is proposed for the VPSSS and then two different step sizes are adaptively combined by a modified sigmoidal activation function, in which this modified sigmoidal activation function is updated by using the gradient descent method to minimize the L1-norm of the subband error vector. Simulation results have verified that the proposed algorithm yields improved transient behavior and tracking performance as compared to the compared algorithms.
机译:具有固定参数步长缩放器(SSS)的可变步长归一化子带自适应滤波器(NSAF)导致快速收敛速率和较小的稳态误差之间的权衡,并且需要重置算法以改善跟踪突然的变化场景。因此,在本摘要中提出了一种具有可变参数SSS(VPSSS)的组合步长NSAF,以解决这些问题。在提出的算法中,针对最小L n 1范数,然后通过修改的S形激活函数自适应地组合了两个不同的步长,其中使用梯度下降法更新此修改的S型激活函数,以使L n 1 n子带误差向量的范数。仿真结果证明,与所比较的算法相比,所提出的算法具有改进的瞬态行为和跟踪性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号