利用接收信噪比矩母函数和误符号率之间的关系，并且对复球体的球帽表面积做近似处理得到误符号率的下边界。

Exploiting the relation between MGF of the received signal-to-noise ratio (SNR) and SER, the lower bound of SER is obtained by utilizing the approximation of complex cap surface in this dissertation.

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论文从标记符号、复分表和体系结构三个方面对《中图法》与《美国国会图书馆分类法》进行了对比研究，并给出了两者的类号对照表。

This paper contrasts and researches Chinese Library Classification (CLC) and Library of Congress Classification (LCC) on the class notes, subdivision schemes and schedule structures.

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