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首页> 外文会议>2011 International Conference on Electric Information and Control Engineering >Novel solution for blind deconvolution based on independent component analysis
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Novel solution for blind deconvolution based on independent component analysis

机译：基于独立分量分析的盲反卷积新解决方案

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摘要

Blind deconvolution based on independent component analysis (ICA) has become the focus of intensive research due to its potential in many applications. However there exists the question that the number of sensors is usually less than the number of source signals. In this paper, by using convolution operation to the input signal, a new algorithm based on nonlinear ICA is proposed. This algorithm is applied to extract the filter in blind deconvolution. Computer simulations show the algorithm can be employed to obtain more reliable and better estimated signals for transient impulse signal extraction.
机译：由于其在许多应用中的潜力，基于独立成分分析（ICA）的盲反卷积已成为深入研究的重点。但是，存在一个问题，即传感器的数量通常少于源信号的数量。本文通过对输入信号进行卷积运算，提出了一种基于非线性ICA的新算法。应用该算法提取盲反卷积中的滤波器。计算机仿真表明，该算法可用于获得更可靠和更好的估计信号，用于瞬态脉冲信号提取。

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