一篇关于ICA技术的博士论文，论文内容非常充实，对ICA的发展、原理和改进具有详细的描述。-a doctoral dissertation about ICA,the paper is rich in content, and described the development ,the principle and improwment methods.

为了快速准确地计算电噪声奇异性, 在介绍信号奇异性计算方法的基础上, 将其引入到电噪声信号分 析中, 提出一种新的基于多重分形奇异性指数计算信号电噪声的方法。新方法利用多重分形来提取电噪声中可 以表达信号内在细节特征的奇异点Hê lder指数, 通过计算电噪声中Hê lder指数的差异来进行噪声分析。通过 对实测电迁移和光耦电噪声的计算分析表明, 电迁移后期奇异性指数会发生突变 而良品光耦器件和次品光耦 器件在信号噪声的平均H ê lder指数方面差异明显。实验结果证明本方法是一

盲分离程序，利用ICA独立分量分析的方法实现了线性混合信号的盲分离-Blind separation procedures, the use of independent component analysis ICA blind separation methods to achieve linear mixed signal

Independent component analysis (ICA) is a method for finding underlying factors or components multivariate (multidimensional) statistical data. What distinguishes ICA other methods is that it looks for components that are both statistically ind