• 非高斯性 - 引用次数：6

  Function with power 4 is adopted as non-quadratic function,therefore, neg-entropy based non-Gaussianity measurement can be transformed into kurtosis form,which can decrease the computational complexity.

  该算法使用四次幂函数,把基于负熵的非高斯性测度转化为信号峰度的形式,降低了计算量。

  参考来源 - 独立分量分析算法及其在多用户检测中的应用
• 逆高斯分布 - 引用次数：4

  对模型预报残差进一步分析可知，残差的时间序列并不服从正态分布，而是呈现出了逆高斯分布。 同样，在误差/残差结构中存在着非常明显的固定模式。

  参考来源 - Further analysis on the model forecast residuals indicate that the residual time series does not follow a normal distribution but rather exhibits non-gaussianity; similarly too, the existence of persistent pattern in the error/residual structure is discernibly evident.

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