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Sparseness-Controlled Proportionate Affine Projection Sign Algorithms for Acoustic Echo Cancellation

机译:回音消除的稀疏控制比例仿射投影符号算法

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In order to reduce the steady-state misalignment of real-coefficient proportionate affine projection sign algorithm (RP-APSA) for sparse impulse responses, a memory RP-APSA is proposed in this paper by exploiting the historical values of proportionate factors, called MP-APSA. Further, to improve the robustness of MP-APSA and the recently proposed memory-improved RP-APSA (MIP-APSA) for impulse responses with mutative sparseness, two sparseness-controlled algorithms (SC-MP-APSA and SC-MIP-APSA) are developed by estimating the sparseness of the impulse response at each iteration. Simulation results in the context of acoustic echo cancellation show that the proposed algorithms retain good robustness against impulsive interferences. More importantly, the proposed sparseness-controlled algorithms can not only obtain low steady-state misalignment in both the sparse and dispersive situations, but also adapt to the variations in the sparseness of the impulse response.
机译:为了减少稀疏脉冲响应的实系数比例仿射投影符号算法(RP-APSA)的稳态失准,本文通过利用比例因子的历史值MP-MPSA提出了一种存储器RP-APSA。 APSA。此外,为了提高MP-APSA和最近提出的内存改进型RP-APSA(MIP-APSA)的鲁棒性,以应对具有突变稀疏性的脉冲响应,提供了两种稀疏控制算法(SC-MP-APSA和SC-MIP-APSA)通过估计每次迭代的脉冲响应的稀疏性来开发。在声学回声消除的情况下的仿真结果表明,所提出的算法对脉冲干扰具有良好的鲁棒性。更重要的是,所提出的稀疏控制算法不仅可以在稀疏和分散情况下获得较低的稳态失准,而且可以适应脉冲响应的稀疏性变化。

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