In order to discuss the efficiency of information transmission of the Gaussian communication processes consistently, we introduced an entropy type functional and a mutual entropy type functional in reference [16]. In that study, we used the set of Gaussian input measures with covariance operators of trace one. In this paper, we refine the formulation and modify the entropy type complexity and the mutual entropy type complexity to be able to study the efficiency of information transmission for more general input Gaussian measures and Gaussian channels.

中文翻译：

---

高斯通信过程改进处理的一个注意事项

为了一致地讨论高斯通信过程的信息传输效率，我们在参考文献[16]中引入了熵型泛函和互熵型泛函。在该研究中，我们使用了一组高斯输入测量和迹线的协方差算子。在本文中，我们改进了公式并修改了熵类型复杂度和互熵类型复杂度，以便能够研究更一般的输入高斯度量和高斯通道的信息传输效率。