董庆生. 电波与信息化[M]. 1版. 北京: 航空工业出版社, 2009: 93-97.
|
AARDAL K I, VAN HOESEL C P M, KOSTER A M C A. Models and solution techniques for the frequency assignment problem[J]. Journal 4OR: Quarterly Journal of the Belgian, French and Italian Operations Research Societies, 2003, 1(4): 261-317.
|
HYVARINEN A, KARHUNEN J, OJA E. Independent component analysis [M]. New York: Wiley, 2001.
|
史习智. 盲信号处理理论与实践[M]. 上海: 上海交通大学出版社, 2008.
|
张贤达, 保铮. 盲信号分离[J]. 电子学报, 2001, 29(12A): 1766-1771.ZHANG Xianda, BAO Zheng. Blind source separation[J]. Acta Electronica Sinica, 2001, 29(12A): 1766-1771.(in Chinese)
|
杨福生, 洪波. 独立分量分析的原理与应用[M]. 北京: 清华大学出版社, 2006.
|
段哲民, 马裕, 彭斌, 等. 基于盲源分离的商业销售计算机仿真分析[J]. 计算机仿真, 2009, 26(11): 308-311.DUAN Zhemin, MA Yu, PENG Bin, et al. Computer simulation analysis of commercial sales based on blind source separation[J]. Computer Simulation, 2009,26 (11): 308-311.(in Chinese)
|
KULCZYK W K. Signal noise ratio in laser doppler systems[J]. Proceedings of the Institution of Electrical Engineers, 1973, 9.
|
ZALOGIN N N. Calculation of the signal noise ratio for random signal double spectral analysis radar[J]. Radio-technical Electronic, 1993, 12(38): 278-286.
|
PLAPOUS C, MARRO C. Improved signal-to-noise ratio estimation for speech enhancement[J]. IEEE Transactions on Audio, Speech and Language Processing, 2006, 6(14): 1024-1029.
|
SUH J. Maximum signal-to-noise ratio array processing for space-time coded systems[J]. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2000, 9(1): 693-697.
|
VACLAV M. Signal-to-noise ratio enhancement based on wavelet filtering in ultrasonic testing[J]. Ultrasonics, 2009, 12(49): 752-759.
|
高剑茹, 高宝成. 基于最大信噪比的盲源分离算法的修正与比较[J]. 电脑与信息技术, 2009, 17(1):19-21.GAO Jianru, GAO Baocheng. Revision and Comparison of blind source separation algorithm based on maximum signal noise ratio [J]. Computer and Information Technology, 2009, 17(1): 19-21.(in Chinese)
|
CHEUNG Y M,LIU H. A new approach to blind source separation with global optimal property[J]. Faculty Research Grant of Hong Kong Baptist University with Project Number: FRG/01-02/II-24.
|
张小兵, 马建仓, 陈翠华, 等. 基于最大信噪比的盲源分离算法[J]. 计算机仿真, 2006, 23(10): 72-75.MA Xiaobing, MA Jiancang, CHENG Cuihua, et al. A blind source separation algorithm based on maximum signal noise ratio[J]. Computer Simulation, 2006, 23(10): 72-75.(in Chinese)
|
MA Jiancang, ZHANG Xiaobing. Blind source separation algorithm based on maximum signal noise ratio[C]// First International Conference on Intelligent Networks and Intelligent Systems, 2008: 625-629.
|
BORGA M.Learning Multidimensional Signal Processing[M]. Linkoping: Linkoping University, 1998.
|
WAX M, KAILATH T. Detection of signals by information theoretic criteria[J]. IEEE Trans ASSP, 1985, 33(2): 387-392.
|
ZHAO L C, KRISHNAIAH P R,BAI Z D. On detection of the number of signals in presence of white noise[J]. Multivariate Anal, 1986, 20(1):1-25.
|
WONG K M, ZHANG Q T,REILLY J P. On information theoretic criteria for determining the number of signals in high Resolution array processing[J]. IEEE Trans ASSP, 1990, 38(11):1959-1971.
|
FISHER E, MESSER H.Order statistics approach for determining the number of sources using an array of sensors[J]. IEEE Signal Processing Letters, 1999, 6(7):179-182.
|
FISHER E, MESSER H.On the use of order statistics for improved detection of signals by the MDL criterion[J]. IEEE Trans SP, 2000, 48(8): 2242-2247.
|
BACH F R, JORDAN M I. Kernel independent component analysis[J]. Journal of Machine Learning Research, 2002, 3: 1248.
|