Since a pseudo-covariance matrix of the observed signals supply additional constraints if the sources are assumed to be independent and improper, it can be proved that the second order statistics is sufficient to separate the mixed complex-value signals f
Since a pseudo-covariance matrix of the observed signals supply additional constraints if the sources are assumed to be independent and improper, it can be proved that the second order statistics is sufficient to separate the mixed complex-value signals f
假设源信号是独立的且非常态，信号的伪协方差矩阵能增加约束条件，从而可证明二阶统计量能够完全分离复值混合信号，而且对信号是否平稳不作要求。