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Subband Affine Projection Algorithm for Acoustic Echo Cancellation System

机译:回声消除系统的子带仿射投影算法

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We present a new subband affine projection (SAP) algorithm for the adaptive acoustic echo cancellation with long echo path delay. Generally, the acoustic echo canceller suffers from the long echo path and large computational complexity. To solve this problem, the proposed algorithm combines merits of the affine projection (AP) algorithm and the subband filtering. Convergence speed of the proposed algorithm is improved by the signal-decorrelating property of the orthogonal subband filtering and the weight updating with the prewhitened input signal of the AP algorithm. Moreover, in the proposed algorithms, as applying the polyphase decomposition, the noble identity, and the critical decimation to subband the adaptive filter, the sufficiently decomposed SAP updates the weights of adaptive subfilters without a matrix inversion. Therefore, computational complexity of the proposed method is considerably reduced. In the SAP, the derived weight updating formula for the subband adaptive filter has a simple form as ever compared with the normalized least-mean-square (NLMS) algorithm. The efficiency of the proposed algorithm for the colored signal and speech signal was evaluated experimentally.
机译:我们提出了一种新的子带仿射投影(SAP)算法,用于具有长回声路径延迟的自适应声回声消除。通常,声学回声消除器具有回声路径长和计算复杂性大的缺点。为了解决这个问题,提出的算法结合了仿射投影(AP)算法和子带滤波的优点。通过正交子带滤波的信号去相关特性和使用AP算法的预白输入信号进行权重更新,提高了算法的收敛速度。此外,在提出的算法中,通过将多相分解,贵族身份和临界抽取应用于子带自适应滤波器,充分分解的SAP无需矩阵求逆即可更新自适应子滤波器的权重。因此,大大降低了所提出方法的计算复杂度。在SAP中,与归一化最小均方(NLMS)算法相比,子带自适应滤波器的导出权重更新公式具有简单的形式。实验评估了所提算法对彩色信号和语音信号的效率。

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