A new cost function based on the diagonalization of correlation matrices is proposed to measure the independency of output signals.
提出了一种新的基于相关矩阵对角化的代价函数作为衡量输出信号独立性的测度。
If signals are supposed to be normally distributed, then by computing determinants of correlation matrices, conditional information of each channel signal can be obtained.
假设信号是近似正态分布的，就可以从相关矩阵的行列式计算出每个波段的条件信息量。
If signals are supposed to be normally distributed, then by computing determinants of correlation matrices, conditional information of each channel signal can be obtained.
假设信号是近似正态分布的，就可以从相关矩阵的行列式计算出每个波段的条件信息量。
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