Generalized Non-orthogonal Joint Diagonalization with LU Decomposition and Successive Rotations

3 Dec 2013Xiao-Feng GongXiu-Lin WangQiu-Hua Lin

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... (read more)

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