| 一种改进的FastICA算法及其在含噪盲源分离中的应用 |
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| 引用本文： | 吴微,彭华,周正康.一种改进的FastICA算法及其在含噪盲源分离中的应用[J].信息工程大学学报,2013,14(6):708-712. |
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| 作者姓名： | 吴微 彭华 周正康 |
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| 作者单位： | 1.信息工程大学,河南 郑州 450001；2.西安通信学院,陕西 西安 710106 |
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| 摘 要： | 针对含噪环境下的盲源分离问题,将一种稳健的含噪条件下的白化预处理方法应用于FastICA算法中,提出了一种改进的FastICA算法.实验仿真结果表明：该算法的抗噪声性能比经典的FastICA算法和RobustICA算法有了较大地改善,而运算量基本不变.
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| 关 键 词： | 独立分量分析 含噪盲源分离 FastICA算法 |
Improved FastICA Algorithm and Its Application in Noisy Blind Sources Separation |
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| WU Wei,PENG Hu,ZHOU Zheng kang.Improved FastICA Algorithm and Its Application in Noisy Blind Sources Separation[J].Journal of Information Engineering University,2013,14(6):708-712. |
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| Authors: | WU Wei PENG Hu ZHOU Zheng kang |
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| Affiliation: | 1. Information Engineering University, Zhengzhou 450001, China ; 2. Xi＇ an Communications Institute, Xi＇ an 710106, China) |
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| Abstract: | An improved FastICA algorithm is proposed aiming at the problem of blind source separation in noisy circumstances, which combines the robust whitening algorithm in noisy circumstances and FastICA algorithm. Simulation results show that compared with the classic FastICA algorithm and the RoubustICA algorithm, the proposed algorithm has greatly improved anti noise performance without increasing computation quantity. |
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| Keywords: | independent component analysis noisy blind sources separation FastICA |
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