龚晓峰

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教授

博士生导师

硕士生导师

主要任职:信息与通信工程学院副院长

其他任职:电子技术教研室主任

性别:男

毕业院校:北京理工大学

学位:博士

所在单位:信息与通信工程学院

学科:通信与信息系统. 信号与信息处理

办公地点:海山楼B511

联系方式:QQ:51574683

电子邮箱:xfgong@dlut.edu.cn

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Generalized Non-Orthogonal Joint Diagonalization With LU Decomposition and Successive Rotations

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论文类型:期刊论文

第一作者:Gong, Xiao-Feng

通讯作者:Gong, XF (reprint author), Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China.

合写作者:Wang, Xiu-Lin,Lin, Qiu-Hua

发表时间:2015-03-01

发表刊物:IEEE TRANSACTIONS ON SIGNAL PROCESSING

收录刊物:SCIE、EI、Scopus

卷号:63

期号:5

页面范围:1322-1334

ISSN号:1053-587X

关键字:Blind source separation; joint diagonalization; LU decomposition; successive rotation

摘要:Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc. However, NJD is used to retrieve the jointly diagonalizable structure for a single set of target matrices which are mostly formulized with a single dataset, and thus is insufficient to handle multiple datasets with inter-set dependences, a scenario often encountered in joint BSS (J-BSS) applications. As such, we present a generalized NJD (GNJD) algorithm to simultaneously perform asymmetric NJD upon multiple sets of target matrices with mutually linked loading matrices, by using LU decomposition and successive rotations, to enable J-BSS over multiple datasets with indication/exploitation of their mutual dependences. Experiments with synthetic and real-world datasets are provided to illustrate the performance of the proposed algorithm.