کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4642243 | 1341336 | 2009 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A fixed-point algorithm for blind source separation with nonlinear autocorrelation A fixed-point algorithm for blind source separation with nonlinear autocorrelation](/preview/png/4642243.png)
This paper addresses blind source separation (BSS) problem when source signals have the temporal structure with nonlinear autocorrelation. Using the temporal characteristics of sources, we develop an objective function based on the nonlinear autocorrelation of sources. Maximizing the objective function, we propose a fixed-point source separation algorithm. Furthermore, we give some mathematical properties of the algorithm. Computer simulations for sources with square temporal autocorrelation and the real-world applications in the analysis of the magnetoencephalographic recordings (MEG) illustrate the efficiency of the proposed approach. Thus, the presented BSS algorithm, which is based on the nonlinear measure of temporal autocorrelation, provides a novel statistical property to perform BSS.
Journal: Journal of Computational and Applied Mathematics - Volume 223, Issue 2, 15 January 2009, Pages 908–915