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A Normalized Subband Adaptive Filter with Combined Regularization Parameter

机译:具有组合正则化参数的归一化子带自适应滤波器

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Proposed is a novel variable regularization algorithm for normalized subband adaptive filter (NSAF) by employing the mixing parameter to combine a large regularization parameter with a small regularization parameter. The mixing parameter is derived by minimizing the energy of noise-freea posteriorisubband error. The combined regularization parameter can vary from a small value to a large value. Therefore, the proposed algorithm exhibits fast convergence rate meanwhile obtains low steady-state misalignment. Experimental simulations demonstrate the effectiveness of our work.
机译:提出是通过使用混合参数将大规模参数与小正则化参数组合来组合归一化子带自适应滤波器(NSAF)的新型变量正则化算法。通过最小化噪声 - Freea后置误差误差的能量来导出混合参数。组合的正则化参数可以从小值变为大值。因此,该算法表现出快速收敛速度,同时获得低稳态未对准。实验模拟展示了我们工作的有效性。

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