| 自适应多目独立成分分析 |
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| 引用本文： | 佘堃,蒲红梅,郑方伟,周明天.自适应多目独立成分分析[J].电子科技大学学报(社会科学版),2007(1). |
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| 作者姓名： | 佘堃 蒲红梅 郑方伟 周明天 |
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| 作者单位： | 电子科技大学计算机科学与工程学院，重庆通信学院第4系，电子科技大学计算机科学与工程学院，电子科技大学计算机科学与工程学院 成都610054 四川师范大学四川省软件重点实验室成都610066，重庆沙坪坝区400035，成都610054，成都610054 四川师范大学四川省软件重点实验室成都610066 |
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| 摘 要： | 通过分析LCNN的学习方程,发现Lagrange约束项的物理本质是有监督学习的下降速率,提出了自适应LCNN(ALCNN)算法,避开了病态矩阵的问题,并将学习矩阵和独立成分求解复杂性都降到了O(n)。
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| 关 键 词： | 独立成分分析 盲源分离系统 鸡尾酒会问题 |
Adaptive Independent Component Analysis under Multisensing |
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| SHE Kun,PU Hong-mei,ZHENG Fang-wei,ZHOU Ming-tian.Adaptive Independent Component Analysis under Multisensing[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2007(1). |
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| Authors: | SHE Kun PU Hong-mei ZHENG Fang-wei ZHOU Ming-tian |
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| Institution: | SHE Kun1,2,PU Hong-mei2,ZHENG Fang-wei1,ZHOU Ming-tian1,2 |
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| Abstract: | In this paper, LCNN equation is investigated carefully and the inward nature of constraints, which was the down speed of supervised learning, is discovered. At the end, adaptive LCNN (ALCNN) is proposed, which not only can solve ill-conditioned matrix, but also the computing complexities of learning matrix and independent components are sympolied to O(n). |
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| Keywords: | independent component analysis blind source separation cocktail party problem |
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