%0 Journal Article
%T Signal reconstruction algorithm under adaptive measurement matrix<br>一种自适应观测矩阵下的信号重构算法*
%A NING Wan-zheng
%A WANG Hai-yan
%A SHEN Xiao-hong
%A JIANG Shi-quan
%A WANG Xuanb
%A <br>宁万正
%A 王海燕
%A 申晓红
%A 蒋世全
%A 王璇b
%J 计算机应用研究
%D 2011
%I 
%X To improve the performance of compressed sensing, designed an adaptive sparse measurement matrix including 0 and 1. In the signal reconstruction, used the location information of observations to avoid solving diophantine equation, which improved the reconstruction speed. The deep-sea riser force parameter which was sparse in frequency domain was adopted to simulate. The results of computer simulation show that the average error of reconstruction algorithm under the adaptive measurement matrix is smaller than the basis pursuit algorithm under the random measurement matrix when the number of observations is same.
%K compressed sensing
%K measurement matrix
%K adaptive
%K signal reconstruction<br>压缩感知
%K 观测矩阵
%K 自适应
%K 信号重构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=49438F68A18A4524A6105C7E3424BFC0&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=DE1E54361EA64F07&eid=113ADD654DF0359D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14