计算机工程与应用2011，Vol.47Issue(32)：221-223,3.DOI:10.3778/j.issn.1002-8331.2011.32.064
改进的步长自适应小波ICA图像盲分离方法
Improved step-size adaptive method of wavelet ICA image blind separation
摘要
Abstract
This paper introduces the basic principle of ICA, elaborates the natural gradient algorithm and the methods of ICA wavelet.With the idea of Performance Index (PI) , it sets an improved criterion to judge whether the objective function L(w) is optimal.And based on this standard.it gets a new step-size adaptive method, by using hyperbolic tangent function. Through computer simulation,it confirms the superiority of its various aspects.关键词
步长自适应/自然梯度算法(NGA)/小波ICA(WICA)/双曲正切函数/图像盲分离Key words
step-size adaptive/Natural Gradient Algorithm(NGA)/ Wavelet Independent Components Analysis(WICA) hyperbolic tangent function/image blind separation分类
信息技术与安全科学引用本文复制引用
廖滔,刘辉..改进的步长自适应小波ICA图像盲分离方法[J].计算机工程与应用,2011,47(32):221-223,3.基金项目
湖南省教育厅项目(No.10C0922). （No.10C0922）
