二阶非平稳时变彩色源的盲分离

Seungjin Choi, A. Cichocki, A. Belouchrani
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引用次数: 44

摘要

提出了一种综合利用源的非平稳性和时间结构的盲源分离方法。该方法只需要观测数据的多个时滞相关矩阵,每个矩阵在不同的时间窗数据帧上求值,就可以估计出解混矩阵。结果表明,该方法对空间相关但时间相关的白噪声具有很强的鲁棒性。讨论了现有二阶盲源分离方法的推广。大量的数值实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind separation of second-order nonstationary and temporally colored sources
This paper presents a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed correlation matrices of the observation data, each of which is evaluated at a different time-windowed data frame, to estimate the demixing matrix. We show that the method is quite robust with respect to the spatially correlated but temporally white noise. We also discuss the extension of some existing second-order blind source separation methods. Extensive numerical experiments confirm the validity of the proposed method.
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期刊介绍: Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
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