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Normalized Subband Adaptive Filter Algorithm with Combined Step Size for Acoustic Echo Cancellation

机译:组合步长的归一化子带自适应滤波算法,用于回声消除

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摘要

A novel normalized subband adaptive filter algorithm with combined step size is proposed for acoustic echo cancellation, which is derived by utilizing a variable mixing parameter to combine a large step size and a small one, thus providing fast convergence rate and small steady-state error. The mixing parameter is indirectly updated by utilizing the stochastic gradient method which minimizes the sum of squared subband errors. Simulation results demonstrate the superiority of the proposed algorithm in terms of the convergence rate and steady-state error as compared to other algorithms mentioned in this paper.
机译:提出了一种新颖的具有组合步长的归一化子带自适应滤波器算法,用于消除声学回声,该算法通过利用可变混合参数将大步长和小步长相结合而得出,从而提供了快速的收敛速度和较小的稳态误差。通过使用随机梯度方法间接更新混合参数,该方法将子带平方误差的总和最小化。仿真结果表明,与本文提到的其他算法相比,该算法在收敛速度和稳态误差方面具有优势。

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