期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Improved statistical sparse decomposition principle method for underdetermined blind source signal recovery 被引量:1
1
作者 Wang Chuanchuan Zeng Yonghu +1 位作者 Wang Liandong Fu Weihong 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2019年第6期94-102,共9页
Aiming at the statistical sparse decomposition principle(SSDP) method for underdetermined blind source signal recovery with problem of requiring the number of active signals equal to that of the observed signals, whic... Aiming at the statistical sparse decomposition principle(SSDP) method for underdetermined blind source signal recovery with problem of requiring the number of active signals equal to that of the observed signals, which leading to the application bound of SSDP is very finite, an improved SSDP(ISSDP) method is proposed. Based on the principle of recovering the source signals by minimizing the correlation coefficients within a fixed time interval, the selection method of mixing matrix’s column vectors used for signal recovery is modified, which enables the choose of mixing matrix’s column vectors according to the number of active source signals self-adaptively. By simulation experiments, the proposed method is validated. The proposed method is applicable to the case where the number of active signals is equal to or less than that of observed signals, which is a new way for underdetermined blind source signal recovery. 展开更多
关键词 UNDERDETERMINED BLIND source SEPARATION signal RECOVERY issdp
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部