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New Approach to Blind Deconvolution of Single-input Multiple-output Linear FIR System

机译:单输入多输出线性FIR系统盲反卷积的新方法

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A new blind deconvolution scheme of linear single-input multi-output (SIMO) FIR system based on the isomorphism relation between the inputs and the outputs is proposed. The research shows that the system inputs can be identified blindly using only the output measurements under some constraints on the inputs and transfer function of a linear SIMO system. It is seen that the proposed blind deconvolution scheme offers lower computational complexity, better performance, and more robust against the over-determination of the system order compared with some conventional schemes.
机译:提出了一种基于输入与输出之间的同构关系的线性单输入多输出(SIMO)FIR系统的新盲解卷积方案。该研究表明,可以仅在线性SIMO系统的输入和传递函数上仅在某些约束下盲目地识别系统输入。可以看出,与一些传统方案相比,所提出的盲折叠方案提供较低的计算复杂性,更好的性能和更强的对系统订单的过度确定。

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