标题:An Improved Method for Blind Source Separation
作者:Zhao, Yong-jian
通讯作者:Zhao, YJ
作者机构:[Zhao, Yong-jian] Shandong Univ Wei Hai, Sch Informat Engn, Weihai, Shandong, Peoples R China.
会议名称:International Conference on Applied Mechanics, Electronics and Mechatronics Engineering (AMEME)
会议日期:MAY 28-29, 2016
来源:2016 INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, ELECTRONICS AND MECHATRONICS ENGINEERING (AMEME 2016)
出版年:2016
页码:199-203
关键词:Component; Separation; Kurtosis; Load; Property; Moment
摘要:In practical applications especially in biomedical signal processing, a large number of sensors is available but only one or a very few are desired. The simultaneous blind source separation (BSS) technique always introduces large computational load. A contrast function is formulated associated with normalized kurtosis. Furthermore, an improved learning algorithm is derived based on the standard gradient descent rule. In contrast to simultaneous BSS, the proposed method can provide more flexibility and has some potential advantages in terms of computational load. Computer simulations illustrate its performance.
收录类别:CPCI-S
资源类型:会议论文
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