导航菜单

陈阳

[1]   Yang Chen, “Blind separation using convex functions,” IEEE Transactions   on Signal Processing, vol. 53, no. 6, pp. 2027-2035, June 2005.

[2]   Yang Chen, “A novel grid occupancy criterion for independent component   analysis,” IEICE Transactions on   Fundamentals of Electronics, Communications and Computer Sciences, vol.   E92-A, no. 8, pp. 1874-1882, Aug. 2009.

[3] Yang Chen,   Kazuyuki Aihara, “Some convex functions based measures of independence and   their application to strange attractor reconstruction,” Entropy, vol. 13, no. 4, pp. 820-840, April 2011.

[4] Tianliang   Peng, Yang Chen, Zengli Liu, “A time–frequency domain blind source separation   method for underdetermined instantaneous mixtures,” Circuits, Systems, and Signal Processing, vol. 34, no. 12, pp.   3883-3895, Dec. 2015.

[5] 陈阳,“一种新的神经网络盲源分离方法”,模式识别与人工智能,第17卷,第2期,pp. 178-183,2004年6月.

[6] Yang Chen, “New methods for   measuring independence with an application to chaotic systems,” in 2002   International Symposium on Nonlinear Theory and Its Applications (NOLTA 2002),   Xi’an, Oct. 7-11, 2002, pp. 523-526.

[7] Yang Chen, Zhenya He, “A New   Method for blind source separation,” in ICONIP 2001, the 8th   International Conference on Neural Information Processing, Shanghai, Nov.   14-18, 2001, vol. 2, pp. 1006-1011.   [8] 陈阳,何振亚,“亚、超高斯信号后非线性混合的盲分离”,应用科学学报,第19卷,第3期,pp. 198-201,2001年9月.   [9] Yang Chen, Luxi Yang, Zhenya He, “Source separation algorithms for   post-nonlinear mixture,” in ICSPAT   2000, Dallas, USA, Oct. 16-19, 2000.(获第二届年度ICSPAT最佳论文提名)   [10] Yang Luxi, Chen Yang, He Zhenya, “A cross-reference method of parameter   estimation and noise reduction and its applications,” Journal of Electronics, Vol.16, No. 3, pp. 238-243, July 1999.

[11]   Yang Chen, Luxi Yang, Zhenya He, “A cross-reference method of parameter   estimation and noise reduction with application to chaotic time series   analysis,” in IDEAL’98,Proceedings of International Symposium   on Data Engineering and Learning, Hong Kong, Oct. 14-16, 1998, pp.   307-314.

  

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