Firstly, the signal model of DS-CDMA system is researched, traditional methods of multi-user detection and their performances is given. The concept of independent component analysis, several classic measurements of Non-Gaussian and common independent component analysis algorithms is introduced.
系统的介绍了独立分量分析的定义,给出了几种经典的非高斯性测度以及常用的独立分量分析算法。
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峭度是随机变量非高斯性的一个经典度量。
Kurtosis is a classical measure of non-Gaussianity of random variable.
通过新息的计算减少观测数据间的冗余进而增加了潜在分量的非高斯性。
The fundamental mechanism of innovation model was to reduce the redundancy among the observed samples, thus it could increase the nonGaussianity of the latent components.
这种非高斯性产生自迁移动力学机制，因此通过非高斯性分析，可以从噪声中提取电迁移相关动力学信息。
The non-gaussian noise origined from the danamical mechanism , so electromigration danamical information can obtained from non-gaussian analysis of the danamical parameter .
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