| Multistage decomposition algorithm for blind source separation |
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| 引用本文： | FENG Dazheng,BAO Zheng,ZHANG Xianda. Multistage decomposition algorithm for blind source separation[J]. 自然科学进展(英文版), 2002, 12(5): 378-282 |
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| 作者姓名： | FENG Dazheng BAO Zheng ZHANG Xianda |
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| 作者单位： | Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China,Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China,Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China (Grant No.69972037) |
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| 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.
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| 关 键 词： | blind source separation multistage decomposition multistage reconstruction criterion iteration a |
Multistage decomposition algorithm for blind source separation |
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| Feng Dazheng,BAO Zheng,ZHANG Xianda. Multistage decomposition algorithm for blind source separation[J]. Progress in Natural Science, 2002, 12(5): 378-282 |
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| Authors: | Feng Dazheng BAO Zheng ZHANG Xianda |
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| Affiliation: | Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China |
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| Abstract: | 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. |
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| Keywords: | blind source separation multistage decomposition multistage reconstruction criterion iteration a |
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