标题:Robust Techniques For Sequential Signal Separation
作者:Zhao, Yongjian; Jiang, Bin
通讯作者:Jiang, B
作者机构:[Zhao, Yongjian; Jiang, Bin] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Shandong, Peoples R China.
会议名称:11th International Conference on Intelligent Computation Technology and Automation (ICICTA)
会议日期:SEP 22-23, 2018
来源:2018 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2018)
出版年:2018
页码:120-124
DOI:10.1109/ICICTA.2018.00035
关键词:Separation; Noise; Measurement; Learning; Structure; Criterion
摘要:Blind signal separation (BSS) has received much research attention due to its potential applicability in recent decades. A great deal of measurements acquired from practical application show some degree of periodicity. Information theoretic criterion is exploited to deduce an objective function for the separation of periodic signals. Minimizing the objective function with natural gradient descent rule, a novel learning algorithm is proposed correspondingly. Computer simulations on signals with temporal structure illustrate the efficiency of the proposed techniques.
收录类别:CPCI-S
资源类型:会议论文
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