源数估计对于独立分量分析算法的影响分析
[1] HYVARINEN A, KARHUNEN J, OJA E.独立成分分析[M].周宗潭,董国华,徐昕,等译.北京:电子工业出版社,2014.
[2] 余先川,胡丹.盲源分离理论与应用[M].北京:科学出版社,2011.
[3] RUIZ R A S, RANTA R, LOUIS-DORR V.EEG montage analysis in the blind source separation framework[J].Biomedical Signal Processing and Control, 2011, 6(1):77-84.
[4] 孙世钧,李秀坤,孟祥夏.水下目标几何结构回波时频域盲源分离[J].哈尔滨工程大学学报,2015, 36(8):1-6.
[5] 郑晖.通信中盲信号处理理论与技术[M].北京:国防工业出版社,2013.
[6] AMARI S I.Natural gradient learning for over- and under-complete bases in ICA[J].Neural Computation, 1999, 11(9):1875-1883.
[7] KIM S G, YOO C D.Underdetermined blind source separation based on subspace representation[J].IEEE Tran-sactions on Signal Processing, 2009, 57(7):2604-2614.
王川川, 许佳奇, 王福志, 曾勇虎. 源数估计对于独立分量分析算法的影响分析[J]. 电光与控制, 2017, 24(8): 96. WANG Chuan-chuan, XU Jia-qi, WANG Fu-zhi, ZENG Yong-hu. Influence of Source Number Estimation on Independent Component Analysis Method[J]. Electronics Optics & Control, 2017, 24(8): 96.