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Online blind source separation based on joint diagonalization

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【Author】 Li Ronghua, Zhou Guoxu, Yang Zuyuan & Xie Shengli School of Electronic & Information Engineering, South China Univ. of Technology, Guangzhou 510641, P. R. China

【摘要】 A new algorithm is proposed for joint diagonalization. With a modified objective function, the new algorithm not only excludes trivial and unbalanced solutions successfully, but is also easily optimized. In addition, with the new objective function, the proposed algorithm can work well in online blind source separation (BSS) for the first time, although this family of algorithms is always thought to be valid only in batch-mode BSS by far. Simulations show that it is a very competitive joint diagonalization algorithm.更多还原

【Abstract】 A new algorithm is proposed for joint diagonalization. With a modified objective function, the new algorithm not only excludes trivial and unbalanced solutions successfully, but is also easily optimized. In addition, with the new objective function, the proposed algorithm can work well in online blind source separation (BSS) for the first time, although this family of algorithms is always thought to be valid only in batch-mode BSS by far. Simulations show that it is a very competitive joint diagonalization algorithm.更多还原

【关键词】 blind source separation； joint diagonalization； nonconvex optimization.；
【Key words】 blind source separation； joint diagonalization； nonconvex optimization.；

【基金】 supported partly by the Key Program of National Natural Science Foundation of China (U0635001;U0835003);the National Natural Science Foundation of China (60505005; 60674033; 60774094);the Natural Science Fundof Guangdong Province (05006508).

【文献出处】 Journal of Systems Engineering and Electronics ,系统工程与电子技术(英文版) , 编辑部邮箱 ,2009年02期

【分类号】TN911.7
【被引频次】5
【下载频次】61

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