[1] 肖明,高峰,孙功宪,谢胜利.经时频掩码的欠定混叠信号的盲提取,通信学报,2012,(8):77-84。
[2] 肖明,谢胜利,傅予力:基于超平面法矢量的欠定盲信号分离算法,自动化学报,2008,32(2),142-149。
[3] 肖明,谢胜利,傅予力: 欠定情形下语音信号盲分离的时域检索平均法。中国科学 E辑: 信息科学 2007年 第37卷 第12期: 2007 37(012):1564- 1575。
[4] 肖明,谢胜利,傅予力: “基于频域单源区间的具有延迟的欠定盲分离”,电子学报,2007,35(12), 2279-2283。
[5] 肖明,谢胜利,傅予力:卷积混叠盲信号分离的一种线性化方法,华南理工大学学报(自然科学版),2005,33(3),34-39。
[6] M. Xiao, S. L. XIE& Y. L. FU:Searching-and-averaging method of underdetermined blind speech signalseparation in time domain. Sci China Ser F-Inf Sc I 2007.10,2007 Vol. 50(5): 771-782.
二、会议论文
[1]M. Xiao , F. Q. Wang, J. P. Xiong. ATwo-Step Blind Extraction Algorithm of Underdetermined Speech Mixtures. LectureNotes in Computer Science. Springer Berlin / Heidelberg. ISSN 0302-9743 (Print)1611-3349 (Online). Volume 5264/2008, Advances in Neural Networks - ISNN 2008.
[2] M. Xiao ,S. L. XIE & Y. L. FU,StatisticallyNon-sparse Decomposition of Two Underdetermined Audio Mixtures. 2008International Joint Conference on Neural Networks (IJCNN 2008). 2008 IEEE WorldCongress on Computational Intelligence (WCCI 2008),459-463.
[3] M. Xiao, R. H. Li,: A Novel Approach ofEstimating Mixing Matrix in Underdetermined Blind Source Separation UsingWavelet Coefficients. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVESYSTEMS-SERIES A-MATHEMATICAL ANALYSIS 13: 1488-1491 Part 3 Suppl. S, DEC 2006.
[4] M. Xiao ,S. Xie, and Y. Fu: A statistically sparse decompositionprinciple for underdetermined blind source separation. Proceedings of 2005International Symposium on Intelligent Signal Processing and CommunicationSystems. ISPACS 2005,165-168.