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电子学报  2012 

基于孤立点检测的欠定混合矩阵盲辨识

, PP. 2367-2373

Keywords: 欠定盲辨识,单源时频点,孤立点检测,聚类

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Abstract:

本文将孤立点检测的思想引入到欠定混合矩阵的盲辨识问题,提出了一种基于孤立点检测的混合矩阵盲辨识方法.首先计算混合信号的空间时频分布并检测出单源时频点,然后检测出单源时频点中的孤立点并将其从中去除,再通过聚类的方法估计混合矩阵.该方法降低了对信号稀疏性的要求,通过去除数据中的孤立点,提高了矩阵的估计精度,同时也有助于对源信号数目的估计.仿真实验表明,与已有算法相比,本文方法进一步提高了混合矩阵的估计精度,并且有更强的鲁棒性.

References

[1]  P Bofill,M Zibulevsky.Underdetermined blind source separation using sparse representations[J].Signal Processing,2001,81(11):2353-2362.
[2]  P D O’Grady,B A Pearlmutter.The LOST algorithm:Finding lines and separating speech mixtures [J].EURASIP Journal on Advances in Signal Processing,2008,2008:1-17.
[3]  O Yilmaz,S Richard.Blind separation of speech mixtures via time-frequency masking [J].IEEE Transactions on Signal Processing,2004,52(7):1830-1847.
[4]  Y Q Li,S Amari,A Cichochi,D W C Ho,S L Xie.Underdetermined blind source separation based on sparse representation [J].IEEE Transactions on Signal Processing,2006,54(2):423-437.
[5]  刘琨,杜利民,王劲林.基于时频域单源主导区的盲源欠定分离方法[J].中国科学 E辑,2008,38(8):1284-1301.
[6]  P Bofill.Identifying single source data for mixing matrix estimation in instantaneous blind source separation .ICANN .Prague,Czech Republic:Springer-Verlag Berlin-Heidelberg,2008.759-767.
[7]  M Breunig,H Kriegel,R Ng,J Sander.LOF:identifying density-based local outliers .SIGMOD 2000 International Conference on Management of Data .Dallas,Texas,USA:ACM Press,2000.93-104.
[8]  D Nion,K N Mokios,N D Sidiropoulos,et al.Batch and adaptive PARAFAC-based blind separation of convolutive speech mixtures[J].IEEE Transactions on Audio,Speech,and Language Processing,2010,18(6):1193-1207.
[9]  F J Theis,E W Langa,C G Puntonet.A geometric algorithm for overcomplete linear ICA [J].Neurocomputing,2004,56:381-398.
[10]  何昭水,谢胜利,傅予力.稀疏表示与病态混叠盲分离[J].中国科学E辑,2006,36(8):864-879.
[11]  付宁,乔立岩,彭喜元.基于改进K-means聚类和霍夫变换的稀疏源混合矩阵盲估计算法[J].电子学报,2009,37(4A):92-96. FU Ning,QIAO Li-yan,PENG Xi-yuan.Blind recovery of mixing matrix with sparse sources based on improved k-means clustering and hough transform[J].Acta Electronica Sinica,2009,37(4A):92-96.(in Chinese)
[12]  G X Zhou,Z Y Yang,S L Xie,et al.Mixing matrix estimation from sparse mixtures with unknown number of sources [J].IEEE Transactions on Neural Networks,2011,22(2):211-221.
[13]  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[J].中国科学 E辑,2007,37(12):1564-1575.
[14]  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[J].电子学报,2007,35(12):2279-2283. XIAO Ming,XIE Sheng-li,FU Yu-li.Underdetermined blind delayed source separation based on single source intervals in frequency domain [J].Acta Electronica Sinica,2007,35(12):2279-2283.(in Chinese)
[15]  F Abrard,Y Deville.A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources [J].Signal Processing,2005,85(7):1389-1403.
[16]  谢胜利,孙功宪,肖明,等.欠定和非完全稀疏性的盲信号提取[J].电子学报,2010,38(5):1028-1031. XIE Sheng-li,SUN Gong-xian,XIAO Ming,et al.Underdetermined and incompletely sparse blind signal extraction[J].Acta Electronica Sinica,2010,38(5):1028-1031.(in Chinese)
[17]  S G Kim,C D Yoo.Underdetermined blind source separation based on subspace representation [J].IEEE Transactions on Signal Processing,2009,57(7):2604-2614.
[18]  V G Reju,S N Koh,I Y Soon.An algorithm for mixing matrix estimation in instantaneous blind source separation[J].Signal Processing,2009,89(9):1762-1773.
[19]  王国鹏,刘郁林,罗颖光.弱时频正交性条件下的混合矩阵盲估计[J].数据采集与处理,2010,25(1):18-22. WANG Guo-peng,LIU Yu-lin,LUO Ying-guang.Blind estimation of mixing matrix for weak time-frequency orthogonality property[J].Journal of Data Acquisition & Processing,2010,25(1):18-22.(in Chinese)
[20]  R Xu,Donald II Wunsch.Survey of clustering algorithms [J].IEEE Transactions on Neural Networks,2005,16(3):645-678.
[21]  M G Omran,A P Engelbrecht,A Salman.An overview of clustering methods [J].Intelligent Data Analysis,2007,11(6):583-605.
[22]  K Daniels,C Giraud-Carrier.Learning the threshold in hierarchical agglomerative clustering .ICMLA .Orlando,Florida,USA:IEEE Press,2006.270-278.

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