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Eigenvector Algorithms Incorporated With Reference Systems for Solving Blind Deconvolution of MIMO-IIR Linear Systems

机译:结合参考系统的特征向量算法解决MIMO-IIR线性系统的盲反卷积

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摘要

This letter presents an eigenvector algorithm (EVA) for blind deconvolution (BD) of multiple-input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mixtures), using the idea of reference signals. Differently from the conventional researches on EVAs, the proposed EVA utilizes only one reference signal for recovering all the source signals simultaneously. Computer simulations are presented for demonstrating the effectiveness of the proposed algorithm.
机译:这封信提出了一种使用参考信号的思想对多输入多输出无限冲激响应(MIMO-IIR)通道(卷积混合)进行盲解卷积(BD)的特征向量算法(EVA)。与传统的EVA研究不同,提出的EVA仅利用一个参考信号同时恢复所有源信号。给出了计算机仿真以证明所提出算法的有效性。

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