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关于盲信号自适应分离中非线性函数的讨论 被引量：1

Discussion on Nonlinear Functions of the Blind Source Separation
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摘要 This paper proposes a new algorithm of blind source separation (BSS). The algorithm can overcome the difficulty known as 'the sensors are less than the source signals' and works effectively when the sensors are less. Then, the paper discusses the nonlinear functions used in the new algorithm. A uniform nonlinear function is proposed and some criterion are given to choose its parameters. Finally, some simulations are presented to show the effectness of the algorithm and the correctness of the criterion. This paper proposes a new algorithm of blind source separation （BSS）. The algorithm can overcome the difficulty known as ＂the sensors are less than the source signals＂ and works effectively when the sensors are less. Then, the paper discusses the nonlinear functions used in the new algorithm. A uniform nonlinear＂ function is proposed and some criterion are given to choose its parameters. Finally, some simulations are presented to show the effectness of the algorithm and the correctness of the criterion.
作者 谢胜利 何昭水 章晋龙 傅予力
机构地区 School of Electronics & Information Engineering
出处 《自动化学报》 EI CSCD 北大核心 2005年第6期825-832,共8页 Acta Automatica Sinica
基金 Science Foundation of Guangdong Province for Program of Research Team，国家自然科学基金，National Natural Science Foundation of P.R.China for Excellent Youth，the State Foundation Education Commission of China
关键词 盲信号 自适应分离 非线性函数 BSS 稳定性 Blind source separation （BSS）, nonlinear function, stability
分类号 TN911.6 [电子电信—通信与信息系统]
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自动化学报
2005年 第6期

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