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Application of blind signal separation using simultaneous perturbation method - image signals separation

机译:盲信号分离使用同时扰动方法在图像信号分离中的应用

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When independent plural signals are mixed and the mixed plural signals are measured, blind signal separation technique is very interesting approach to separate these signals only based on the measured signals. It is a hot subject in the fields of engineering, for example, communication engineering, signal processing, image processing, analysis of organs inside a body and so on [1],[2],[3]. In this paper, we propose a recursive method to obtain the separating matrix based on the mutual information, via the simultaneous perturbation optimization method [4],[5],[6]. The simultaneous perturbation method updates the separating matrix by using only two values of the mutual information. Some examples for image signals are shown to confirm viability of the proposed method. In these examples, our method separated some signals form mixed ones properly. This method is applicable to on-line separation because of simplicity of the algorithm
机译:当混合独立的多个信号并且测量混合多个信号时,盲信号分离技术是非常有趣的方法,仅基于测量的信号分离这些信号。它是工程领域的热门主题,例如,通信工程,信号处理,图像处理,机构内的器官分析等,如[1],[2],[3]。在本文中,我们提出了一种通过同时扰动优化方法[4],[5],[6]基于相互信息获得分离矩阵的递归方法。同时扰动方法通过仅使用相互信息的两个值更新分离矩阵。图像信号的一些示例被示出为确认所提出的方法的存量。在这些示例中,我们的方法将一些信号分开,适当地形成混合的信号。由于算法的简单性,这种方法适用于在线分离

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