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首页> 外文期刊>Applied Acoustics >Sparsity aware affine-projection-like filtering integrated with robust set membership and M-estimate approach for acoustic feedback cancellation in hearing aids
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Sparsity aware affine-projection-like filtering integrated with robust set membership and M-estimate approach for acoustic feedback cancellation in hearing aids

机译：稀疏意识到仿照投影的滤镜，其集成了助听器中的强大的集合成员资格和M估算方法，用于助听器中的声反馈取消

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摘要

This paper introduces a new adaptive feedback cancellation technique for hearing aid employing robust upper error bound of set membership filtering in the M-estimate function and applied for affine-projection-like algorithm. Additionally a l(1) norm based sparsity term is appended in the cost function which takes care of the convergence while estimating feedback path of the hearing aid exhibiting sparse characteristics. The proposed method of sparsity aware affine-projection-like robust set membership M-estimate (SAPL-RSM) filtering has been utilized for alleviating the impact of impulsive noise on the adaptation of feedback canceler's weights. The SAPL-RSM technique is derived by minimizing a modified cost function involving M-estimate function constrained by a robust error bound and sparsity dependent penalty term with the motive of enhancing the convergence and lowering the computational expenses involved in the weight update process. The validation of the proposed method is carried out in the context of adaptive feedback cancellation in hearing aids. Simulations assess the efficacy of the proposed technique as an adaptive feedback canceler in terms of misalignment, added stable gain and sound quality deliverable at the user end. (C) 2020 Elsevier Ltd. All rights reserved.
机译：本文介绍了一种新的自适应反馈消除技术，用于在M估计功能中采用集合隶属滤波的稳健上误差绑定的助听器，并应用于仿射投影算法。另外，基于L（1）范数基于范围的稀疏性术语在经过收敛的成本函数中附加，同时估计助听器的反馈路径表现出稀疏特性。已经利用了所提出的稀疏感知仿射投影的富有稳健设定隶属M形式M估计（SAPL-RSM）滤波，用于减轻冲动噪声对反馈消除器权重的改编的影响。通过最小化修改的成本函数来导出SAPL-RSM技术，涉及由强大的错误绑定和稀疏依赖性惩罚术语限制的修改成本函数，其具有增强收敛性并降低重量更新过程中涉及的计算费用的动机。所提出的方法的验证是在助听器中的自适应反馈消除的背景下进行的。模拟评估所提出的技术在未对准方面作为自适应反馈消除者的功效，增加了用户端可交付的稳定增益和声音质量。 （c）2020 elestvier有限公司保留所有权利。

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