%0 Journal Article
%T Under determined blind source separation by applying the adjacent sampling points of signals for joint estimation<br>采用信号相邻采样点联合估计的欠定盲源分离算法
%A FENG Tao
%A ZHU Lidong
%A <br>冯涛
%A 朱立东
%J 重庆邮电大学学报(自然科学版)
%D 2012
%I 
%X Two-step strategy is the basic method of under-determined blind source separation currently, and the estimation of mixing matrix is a prerequisite for recovering the source signals. We consider the situation that the mixing matrix has been estimated, and matrix subspace method is applied to estimate source signals. In order to improve anti-noise capability of the underdetermined blind source separation algorithm, the relevant characteristics of adjacent sampling points of signals are used to determine the ownership of the signals at any time. Finally, simulations show the performance and validity of the proposed algorithm.
%K under-determined source separation
%K matrix subspace
%K relevant characteristics
%K joint estimation<br>欠定盲源分离
%K 矩阵子空间
%K 相关性
%K 联合估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=4561954BE0A0F99D7005880360822472&yid=99E9153A83D4CB11&vid=B91E8C6D6FE990DB&iid=38B194292C032A66&sid=E42CAFB11D4BE21A&eid=119B6C0AA09DE6B9&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=0