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Online SOS-based multichannel blind equalization algorithm with noise

机译:基于在线SOS的带噪声的多通道盲均衡算法

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摘要

Multichannel blind equalization is an important task for numerous applications such as speech separation, dereverberation, communication, signal processing and control, etc. In this paper, only second-order statistics is used to construct a cost function and thus a new online algorithm is derived with natural gradient search method for multichannel blind equalization. The proposed algorithm can deal with observations with lower-level noise. Simulations and comparisons indicate the efficiency and ability of the algorithm to perform blind equalization with simple calculation, fast convergence speed and high accuracy, and also can carry out speech separation and dereverberation. (c) 2005 Elsevier B.V. All rights reserved.
机译:多通道盲均衡是语音分离,去混响,通信,信号处理和控制等众多应用的重要任务。在本文中,仅使用二阶统计量来构建成本函数,从而推导了一种新的在线算法。用自然梯度搜索方法进行多通道盲均衡。所提出的算法可以处理低水平噪声的观测。仿真和比较表明,该算法计算简单,收敛速度快,精度高,能够实现盲均衡的效率和能力,还可以进行语音分离和混响。 (c)2005 Elsevier B.V.保留所有权利。

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