Kaiyu Wang
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Joint non-orthogonal joint diagonalization based on LU decomposition and Jacobi scheme
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Indexed by:Conference Paper

Date of Publication:2013-07-06

Included Journals:EI

Page Number:25-29

Abstract:We present an algorithm for jointly solving multiple nonorthogonal joint diagonalization (JNJD) problems with linked loading matrices, by using LU decomposition and Jacobi scheme in the updating procedure. The proposed method could be used in applications that involve a set of correlated linear instantaneous blind source separation (BSS) problems (e.g. frequency domain convolutive BSS), and differs from existing joint diagonalization based algorithms in that it incorporates the correlations among the multiple JD sets within the JNJD scenario. Simulations are provided to examine the performance of the proposed algorithm. ? 2013 IEEE.

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Academic Titles:控制科学与工程学院副院长

Other Post:大连理工大学电工电子国家级实验教学示范中心主任,大连理工大学电工电子国家级虚拟仿真实验教学中心主任

Gender:Male

Alma Mater:德国卡尔斯普厄科技大学

Degree:Master's Degree

School/Department:控制科学与工程学院

Discipline:Detection Technology and Automation Device

Business Address:理工北门海山楼B1607

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