| On-line blind source separation algorithm based on second order statistics |
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| 作者姓名： | 何文雪 谢剑英 杨煜普 |
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| 作者单位： | Dept .of automation Shanghai Jiaotong，Dept .of automation Shanghai Jiaotong，Dept .of automation Shanghai Jiaotong Shanghai 200030，P. R. China，Shanghai 200030，P. R. China，Shanghai 200030，P. R. China |
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| 基金项目： | This project was supported by the National 863 project (2001AA422420 -02) |
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| 摘 要： | 1 .INTRODUCTIONBlindsource separation (BSS) is one of the most activeresearch areasin signal processing community. The mainobjective of blind source separationis to extract indepen-dent source signals fromtheir observed mixtures withoutfull knowledge of the signal propagation environment .BSStechnologies have been widely usedin array process-ing,communications,biomedical signal processing,i mageprocessing, speech processing, seismic prospecting andother areas.Many methods have been prop…
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On-line blind source separation algorithm based on second order statistics |
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| He Wenxue,Xie Jianying,Yang Yupu.On-line blind source separation algorithm based on second order statistics[J].Journal of Systems Engineering and Electronics,2005,16(3). |
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| Authors: | He Wenxue Xie Jianying Yang Yupu |
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| Abstract: | An on line blind source separation (BSS) algorithm is presented in this paper under the assumption that sources are temporarily correlated signals. By using only some of the observed samples in a recursive calculation, the whitening matrix and the rotation matrix could be approximately obtained through the measurement of only one cost function. Simulations show good performance of the algorithm. |
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| Keywords: | blind source separation second order statistics cost function |
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