Convolutive Separation of I.I.D. Signals Based on Simultaneous Tensors Diagonalization

S. Rhioui, E. Moreau
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引用次数: 2

Abstract

This paper considers the problem of blind separation of a MIMO convolutive mixture of i.i.d. source signals. Separation criteria are considered for the overall extraction of source signals according to the use of so-called reference signals. We present a new MIMO contrast function using reference signals, which is moreover seen to have joint-diagonalization interpretation. A link with the PARAFAC decomposition is also emphasized. Finally the performance are investigated through computer simulations
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基于同时张量对角化的I.I.D.信号卷积分离
研究了多输入多输出卷积混合信号的盲分离问题。根据所谓参考信号的使用,考虑源信号的整体提取的分离准则。我们提出了一种新的基于参考信号的MIMO对比函数,并且被认为具有联合对角化解释。还强调了与PARAFAC分解的联系。最后通过计算机仿真对其性能进行了研究
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