[1] 孙守宇,郑君里,吴里江,赵莹.峭度自适应学习率的盲信源分离[J].电子学报,2005,33(3):473-476. Sun Shou-yu,Zheng Jun-li,Ww Li-jiang,Zhao Ying.Blind source separation with kurtosis adaptive learning rate[J].Acta Electronica Sinica,2005,33(3):473-476.(in Chinese)
[2] Yang H H,Amari S.Adaptive on-line learning algorithms for blind separation-maximum entropy and minimum mutual information[J].Neural Computations,1997,(9):1457-1482.
[3] Cardoso J F,Laheld B.Equivariant adaptive source separation[J].IEEE Trans Signal Processing,1996,44:3017-3030.
[4] Cruces S,Cichocki A,Castedo L.An iterative inversion approach to blind source separation[J].IEEE Transactions on Neural Networks,2008,11(6):1423-37.
[5] 付绍军,赵国栋,卓琨.一种新的多信号卷积混合信号盲分离算法[J].电讯技术,2012,52(3):328-332. Fu Shao-jun,Zhao Guo-dong,Zhuo Kun.A new blind source separation algorithm for convolved multiple source signals[J].Telecommunication Engineering,2012,52(3):328-332.(in Chinese)
[6] 柯维,张永祥,吕博.基于微分进化算法的盲源分离[J].海军工程大学学报,2012,24(5):12-17. Ke Wei,Zhang Yong-xiang,Lu Bo.Blind source separation based on differential evolution algorithm[J].Journal of Naval University of Engineering,2012,24(5):12-17.(in Chinese)
[7] 张银雪,田学民,邓晓刚.基于改进人工蜂群算法的盲源分离方法[J].电子学报,2012,40(10):2026-2030. Zhang Yin-xue,Tian Xue-min,Deng Xiao-gang.Blind source separation based on modified artificial bee colony algorithm[J].Acta Electronica Sinica,2012,40(10):2026-2030.(in Chinese)
[8] 陈琛,马庆伦,李灯熬,赵菊敏.NGA实现互信息量最小化的盲源分离[J].计算机工程与应用,2013,49(4):121-124. Chen Chen,Ma Qing-lun,Li Deng-ao,et al.NGA achieves blind source separation with mutual information minimum[J].Computer Engineering and Applications,2013,49(4):121-124.(in Chinese)
[9] 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. Liu Jun-liang,Yu Feng-qin.Speech separation based on variable step size natural gradient algorithm depending on sepa-ration degree[J].Computer Engineering and Applications,2013,49(21):216-219.(in Chinese)
[10] 李思怡,王永威,黄琰,陈惠娟.一种基于自然梯度的两步盲源分离算法[J].微电子学与计算机,2013,30(6):169-172. Li Si-yi,Wang Yong-wei,Huang Yan,Chen Hui-juan.Blind sourcr separation based on two-segment natural gradient algorithm[J].Microelectronics & Computer,2013,30(6):169-172.(in Chinese)
[11] 吕淑平,祝捷.一种改进的自适应混合神经网络盲分离算法[J].计算机应用研究,2013,30(4):1055-1057. Lv Shu-ping,Zhu Jie.Improved self-adaptive mixing neural network algorithm for blind source separation[J].Application Research of Computers,2013,30(4):1055-1057.(in Chinese)
[12] Zeng T J,Feng Q Y.A parallel dual matrix method for blind signal separation[J].Neural Computation,2013,26(3):592-610.
[13] 胡剑峰.PID参数继电自整定方法的研究[J].仪表技术,2012,(06):39-41,44. Hu Jian-feng.The PID parameter self-tuning method research[J].Instrumentation Technology,2012,(06):39-41,44.(in Chinese)
[14] 焦嵩鸣,赵潇明,侯晓宁.自整定PID控制算法在优化控制站中的应用[J].计算机仿真,2014,31(1):412-415. Jiao Song-ming Zhao Xiao-ming,Hou Xiao-ning.Self-tuning PID control algorithmin application of optimal control station[J].Computer Simulation,2014,31(1):412-415.(in Chinese) |