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出 处:《Progress in Natural Science:Materials International》2002年第5期60-64,共5页自然科学进展·国际材料(英文版)
基 金:Supported by the National Natural Science Foundation of China (Grant No. 69972037)
摘 要:A new algorithm for blind source separation is proposed, which only extracts the single independent component at each stage. The single independent component is acquired by an iterative algorithm for searching for the optimal solution of the defined cost function. Moreover, all the independent components are obtained by systematic multistage decomposition and multistage reconstruction. When there is spatially colored noise, the performance of this algorithm is advantageous over jointly approximated diagonalization of eigen-matrices (JADE). Simulated results show that if the number of source signals is more than 25, its computational complexity is lower than that of JADE.A new algorithm for blind source separation is proposed, which only extracts the single independent component at each stage. The single independent component is acquired by an iterative algorithm for searching for the optimal solution of the defined cost function. Moreover, all the independent components are obtained by systematic multistage decomposition and multistage reconstruction. When there is spatially colored noise, the performance of this algorithm is advantageous over jointly approximated diagonalization of eigen-matrices (JADE) . Simulated results show that if the number of source signals is more than 25, its computational complexity is lower than that of JADE.
关 键 词:BLIND source separation MULTISTAGE decomposition MULTISTAGE reconstruction criterion ITERATION algorithm.
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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