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基于ICA的图像盲分离算法
引用本文:冀志华,蔡坤宝,叶艳芳. 基于ICA的图像盲分离算法[J]. 重庆理工大学学报(自然科学版), 2008, 22(4): 104-108
作者姓名:冀志华  蔡坤宝  叶艳芳
作者单位:重庆大学通信工程学院 重庆400044
摘    要:通过对独立分量分析算法的研究,介绍了该算法的基本模型及目前应用最广泛的快速定点ICA算法的数学原理.通过仿真试验结果表明,用该算法对随机混合的3幅图像进行盲分离,取得了理想的效果.

关 键 词:独立分量分析  投影追踪  负熵  快速ICA

Blind Separation of Image Based on ICA
JI Zhi-hua,CAI Kun-bao,YE Yan-fang. Blind Separation of Image Based on ICA[J]. Journal of Chongqing University of Technology(Natural Science), 2008, 22(4): 104-108
Authors:JI Zhi-hua  CAI Kun-bao  YE Yan-fang
Abstract:Independent Component Analysis is a new signal processing method which develops rapidly during last few years.This paper introduces the basic model of the algorithm,analyzes the math principle of frequently-used rapid fixed-point algorithm for independent component analysis,and applies the algorithm in blind separation of three images which are mixed randomly.The result shows that the algorithm is effective and reliable.
Keywords:Independent Component Analysis  projection pursuit  negentropy  fast-ICA
本文献已被 CNKI 维普 等数据库收录!
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