1. 毕业设计（论文）的内容和要求

首先研究小鼠与视觉刺激相关联的脑电信号的分离，验证分离后的信号与视觉刺激信号之间的因果关系。

其次，总结分离的各种方法，并对比分离的效果。

最后，选择出最合适的方法应用于人类视觉信号的处理。

2. 参考文献

References 1. Huang, Norden E., et al. ”The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis.” Proceedings: Mathematical, Physical and Engineering Sciences, vol. 454, no. 1971, 1998, pp. 903#8211;995. 2. Neda Z. ,Ravasz E., Brechet Y., Barabasi A. L., Physics of the rhythmic applause, Physical Review E, Vol. 61, No. 6, June 2000, pp. 6987-6992 2 Y. Xiao, Z. Zhu, Y. Zhao, Kernel reconstruction ICA for sparse representation, IEEE Trans. Neural Networks and Learning Systems, 2013 3 J. Chen Q. Lin, A semi-blind complex ICA algorithm for extracting a desired signal based on kurtosis maximization, Lecture Notes in Computer Science- Advances in Networks, Vol. 5264, 2008, pp.764-771 4 M. Tan, I. W. Tsang, L. Wang, Matching pursuit LASSO part I: sparse recovery over big dictionary, IEEE Trans. Signal Processing, 2015, Vol. 63, pp.727-741 5 Y. Li, S. Amari, A. Cichocki, D.W. C. Ho, S. Xie, Underdetermined Blind Source Separation Based on Sparse Representation, IEEE Trans. Signal Processing, Vo. 54, 2006, pp. 423-437 6 F. Marvasti, et al, A unified approach to sparse signal processing, EURASIP Journal on Advances in Signal Processing, 2012, vol. 44 7 K. Zhang, H. Peng, L. Chan, A. Hyvarinen, ICA with sparse connections: revisited, Independent component analysis and signal separation. Lecture Notes in Computer Science, Vol.5441, 2009, pp.195-202 8 T. Lee, M. Girolami T. J. Sejnowski, Independent component analysis using an extended informax algorithm for mixed sub-Gaussian and super-Gaussian sources, Neural Computation, 1999, 11, pp.417-441 9 L. Niu, J. Ma, Y. Wang, H. Chen, A new switching algorithm of blind source separation based on kurtosis, Journal of System Simulation, 2005, Vol. 17, pp.185-188 10 B. Rao, K. K. Kreutz-Delgado, An affine scaling methodology for best basis selection, IEEE Trans. Signal Processing, 1999, Vol. 47, pp. 187-200 11 J. Wang, J. Zhou, B. Peng, Weak signal detection method based on Duffing oscillator, Kybernetes, 2009, Vol. 38, pp.1662-1668 12 Y. Xin, L. Xu, The study for the method to weak signal detection based on the combination of the chaotic oscillator system and stochastic resonance system, Scientific Journal of information Engineering, 2014, Vol. 4, pp.44-56

3. 毕业设计（论文）进程安排

2018.1-2018.2 阅读文献 2018.3-2018.4 建立模型并编程 2018.5-2018.6 调试模型和程序，撰写论文