参考文献
[1]Gualandi A,Serpelloni E,Belardinelli M E.Blind Source Separation Problem in GPS Time Series[J].Journal of Geodesy,2016,90(4):323-341.
[2]Wei Yangjie,Wang Yi.Dynamic Blind Source Separation Based on Source-direction Prediction[J].Neurocomputing,2016,185:73-81.
[3]Fang Wanting,Wang Haolong,Xu Biao,et al.Blind Source Separation Using Analysis Sparse Constraint[J].Electronics Letters,2016,52(13):1112-1114.
[4]Chambers J A,Jafari M G,Mclaughlin S.Variable Step-size EASI Algorithm for Sequential Blind Source Separa-tion[J].Electronics Letters,2004,40(6):393-394.
[5]Samadi S,Babaie-Zadeh M,Jutten C.Quasi-optimal EASI Algorithm Based on the Score Function Difference(SFD)[J].Neurocomputing,2006,69(13-15):1415-1424.
[6]Ye Jimin,Jin Haihong,Lou Shuntian,et al.An Optimized EASI Algorithm[J].Signal Processing,2009,89(3):333-338.
[7]邓灵,张天骐,金静,等.基于改进EASI算法的多跳频信号盲源分离[J].科学技术与工程,2014,14(2):45-49.
[8]李宗,冯志鹏,褚福磊.基于改进的串音误差的盲分离评价指标[J].振动与冲击,2012(18):83-88.
[9]Shao Zhen,Yang Shanlin,Gao Fei,et al.A New Electricity Price Prediction Strategy Using Mutual Information-based SVM-RFE Classification[J].Renewable & Sustainable Energy Reviews,2017,70:330-341.
[10]Bernhard H P,Darbellay G A.Performance Analysis of the Mutual Information Function for Nonlinear and Linear Signal Processing[C]//Proceedings of IEEE International Conference on Acoustics,Speech,and Signal Processing.Washington D.C.,USA:IEEE Computer Society,1999:1297-1300.
[11]刘梦蝶.基于自然梯度的盲源分离算法中非线性函数的研究[D].沈阳:东北大学,2014.
[12]高丽,张天骐,侯瑞玲,等.基于改进EASI算法的DS-CDMA信息码与伪码盲估计[J].电讯技术,2012,52(8):1275-1281.
[13]刘俊良,于凤芹.基于分离度变步长的自然梯度算法的语音分离[J].计算机工程与应用,2013,49(21):216-219.
[14]夏淑芳,张天骐,李雪松,等.基于变步长的混合图像自适应盲分离算法[J].数据采集与处理,2011,26(2):156-161.
[15]陆建涛,成玮,訾艳阳,等.变步长等变自适应盲源分离算法[J].西安交通大学学报,2015,49(12):83-89.
编辑金胡考 |