Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 320-323.doi: 10.11896/j.issn.1002-137X.2016.11A.075
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LI Xiong-jie and ZHOU Dong-hua
| [1] Prakash K,Hepzibha R D.Blind Source Separation for Speech Music and Speech Mixtures[J].International Journal of Computer Applications,2015,110(12):40-43 [2] 赵文红,王巍.盲源分离技术在AIS中的应用[J].计算机科学,2013,40(6A):217-219 [3] 齐扬阳,于淼.基于EMD的单通道盲源分离跳频通信抗干扰方法[J].计算机科学,2016,43(1):149-153 [4] Jutten C,Herault J.Blind separation of sourcesPart I:An adaptive algorithm based on neuromimetic architecture[J].Signal Processing,1991,24(1):1-10 [5] Comon P.Independent component analysis,a new concept?[J].Signal Processing,1994,36(3):287-314 [6] Karhunen J,Joutsensalo J.Representation and separation of signals using nonlinear PCA type learning[J].Neural Networks 1994,7(1):113-127 [7] 赵礼翔,刘国庆.基于Givens变换矩阵的时间结构信号盲源分离新算法[J].计算机科学,2014,41(12):78-90 [8] 赵礼翔,刘国庆.基于Givens变换矩阵的和联合非线性不相关的盲源分离新算法[J].计算机科学,2015,42(5):149-152 [9] 陈海平,张杭,路威,等.时变混合系统的自适应动量项快速盲源分离算法[J].计算机科学,2013,40(11A):19-45 [10] 阮宗利,李立萍,钱国兵,等.基于含噪复值ICA信号模型的快速不动点算法[J].电子与信息学报,2014,36(5):1094-1099 [11] Oja E.The nonlinear PCA learning rule in independent component analysis[J].Neurocomputing,1997,17(1):25-45 [12] Pajunen P,Karhunen J.Least-squares methods for blind source separation based on nonlinear PCA[J].Int.J.of Neural Systems,1998,8(5/6):601-612 [13] Zhu X L,Zhang X D.Adaptive RLS algorithm for blind source separation using a natural gradient[J].IEEE Signal Processing Letters,2002,9(12):432-435 [14] Lv Q,Zhang X D,Jia Y.Kalman filtering algorithm for blind source separation[C]∥IEEE International Conference on Acoustics,Speech,and Signal Processing(ICASSP).2005:257-260 [15] Karhunen J,Oja E,Wang L,et al.A Class of Neural Networks for Independent Component Analysis[J].IEEE Transactions on Neural Networks,1997,8(3):486-504 [16] Wang L,Karhunen J.A unified neural bigradient algorithm for robust PCA and MCA[J].International Journal of Neural Systems,1996,7(1):53-67 [17] Wang L,Karhunen J,Oja E.A bigradient optimization approach for robust PCA,MCA,and source separation[C]∥IEEE International Conference on Neural Networks,1995.EEE,1995:1684-1689 [18] Sanger T D.Optimal unsupervised learning in a single-layerfeedforward neural network[J].Neural Netwoks,1992,2(6):459 [19] Ozeki K,Umeda T.An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties[J].Electronics and Communications in Japan (Part I:Communications),1984,67(5):19-27 [20] Karhunen J,Pajunen P,Oja E.The nonlinear PCA criterion in blind source separation:relations with others approaches[J].Neurocomputing,1998,22(1):5-20 [21] Cardoso J F,Laheld B H.Equivariant adaptive source separation[J].IEEE Trans.Signal Processing,1996,44(12):3017-3029 [22] Sankaran S G,Beex A A.Convergence behavior of affine projection algorithms[J].IEEE Trans.Signal Processing,2000,48(4):1086-1096 |
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