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基于ICA Fixed-Point算法的信号图像分析 被引量:1

The ICA fixed-point algorithm and signal image analysis
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摘要 从ICA算法的基准点出发,探讨了固定点算法中寻找W叠代公式的原理和方法,对分离一个独立成分和分离n个独立成分的运算方法进行了推导和分析;模拟试验表明:逐一分离的效果较好。 In this paper, a detailed analysis about the theory and iteration algorithms of the fixed - point ICA algorithm has been made. Two methods of the separation about one signal and the separation about n signals image were given. Simulation experiments showed that the method of separation one by one is better than the other.
作者 张金霞
机构地区 青海大学水电系
出处 《青海大学学报(自然科学版)》 2005年第5期75-77,共3页 Journal of Qinghai University(Natural Science)
关键词 独立成分 固定点算法 Kurtosis极值 ICA fixed - point algorithm Kurtosis
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参考文献4

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  • 1王毅,齐华,郝重阳.一种基于独立分量分析的模糊图像盲分离算法[J].计算机应用,2006,26(10):2366-2368. 被引量:8
  • 2Sun J, Xu W B. A Global Search Strategy of Quanturn Behaved Particle Swarm Optimization [C]. IEEE Conference on Cybernetics and Intelligent Systems, New York, 2004
  • 3Chandramoouli R. A Mathematical Framework for Active Steganalysis[J]. Special Issue on Multimedia Security, ACM Multimedia System Journal manuscript, 2003, 9(3): 301- 311
  • 4Romberg J K, Choi H, Baraniuk R G. Bayesian Tree-Structured Image Modeling Using Wavelet-Do main Hidden Markov Models[J]. IEEE Transac tions on Image Processing, 2001, 10(7): 1 056 -1 068

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