In this paper, the major work is the introduction of a new method of feature extraction independent component analysis. Independent component analysis of the fundamental principle is that through the analysis of multi-dimensional data between the relevance of higher-order statistics, independent of each other to identify the implied message composition, the completion of inter-component higher-order removal of redundant and independent source extraction

Packet : 57578857lunwen.rar filelist
part1\english abstract.doc
part1\中文摘要.doc
part1\参考文献.doc
part1\封面.doc
part1\目录.doc
part1\程序.doc
part1\第1章绪论.doc
part1\第2章独立分量分析理论.doc
part1\第3章基于信息论的独立分量分析算法.doc
part1\第4章独立分量分析在模式分类特征提取中的应用.doc
part1\第5章总结与展望.doc
part1

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