Discussion on Nonlinear Functions of the Blind Source Separation

• 出 处: 自动化学报
• 发表日期: 2005年06期
• 关键词: criterion overcome difficulty correctness blind choose Probability iteration val

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 ef- fectively 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 sensor are less than the source signals” and works ef- fectively when the sensors are less. Shen, 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.