A New Method for Extraction of Signals with Higher Order Temporal Structure

作者：Hu Lei^*; Chen Bowen; Huang Zhen

来源：International Workshop on Internet of Things (IOT Workshop 2012), 2012-08-17 to 2012-08-19.

• Blind source extraction
• Correntropy
• Information Theoretic Learning (ITL)

This paper addresses the problem of semi-blindly extracting one single desired signal using a priori information about its higher order temporal structure. Our approach is based on the maximization of the auto-correntropy function for a given time delay. Those values provide information which allows the proposed method to adapt a demixing vector to extract the desired signal without the indeterminacy of the permutation problem in blind source separation. Moreover, this method is different from those for Independent Component Analysis that separate all the available sources, which in some problems, is not desirable or computationally possible. Also, the flexibility brought by the Kernel size selection allows the user to choose the range of statistics he is interested in. We show in simulations that correntropy achieve better or equal separation than other linear methods proposed in the literature for source extraction based on temporal structures.

• 出版日期2012
• 单位武汉大学