%0 Journal Article
%T Blind deconvolution based on improved genetic algorithm<br>基于改进遗传算法的盲解卷积
%A DONG Shu-min
%A LI Yao
%A LIU Hong-bo
%A QIAO Shuang
%A <br>董姝敏
%A 李尧
%A 刘洪波
%A 乔双
%J 计算机应用
%D 2009
%I 
%X Concerning the multi-variable solution,slow convergence and easily falling into a local optimum in time-domain blind deconvolution,a "monitoring strategy" was proposed in order to prevent from local convergence of genetic algorithm.,which could real-time monitor situation of closing to the optimal solution under the conditions of studying multi-variables solution,slow convergence and easily into a local optimum in time-domain blind deconvolution At the same time,some of the key technologies of the general g...
%K blind source separation
%K blind convolution
%K genetic algorithm
%K minimum mutual information
%K probability density estimation<br>盲分离
%K 盲卷积
%K 遗传算法
%K 最小互信息
%K 概率密度估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=B11ED5955BFD92CEDC11E83385CF48C7&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=FD947B5A26542F64&eid=DC165160277F7BE9&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=13