%0 Journal Article
%T New method of underdetermined blind voice source separation<br>欠定情形下语音信号盲分离的新方法
%A BAI Lin
%A CHEN Hao
%A <br>白琳
%A 陈豪
%J 计算机应用研究
%D 2010
%I 
%X This paper put forward a new kind of two-step approach to separate underdetermined blind voice signals. The first step:the mixing matrix was estimated by searching observation signals newly constructed.The second step:a new concept of pseudo extraction vectors was put forward and the pseudo extraction vectors were used to recover the signal dominating for each sampling. In the process of separating the source signals, the method based on linear programming was also used. Some conclusions could be seen: the method based on pseudo extraction vectors free of optimizing process increases the velocity of separating source signals. The velocity of separation of the method based on pseudo extraction vectors was several-fold of the method based on linear programming.The precision of separation of the method based on pseudo extraction vectors was also not lower than the method based on linear programming. The simulating results illustrate the better performance of the method.
%K two-step approach
%K underdetermined BSS
%K sparse representation
%K pseudo extraction vectors<br>两步法
%K 欠定盲源分离
%K 稀疏表征
%K 伪提取矢量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DCE8C42C28BADB62FA9DCF18F4ECF86B&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=2C9CF52C913FA2D8&eid=8BBC50AE1A1F67D9&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8