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  • 标题:Novel Composite Approximation for the Gaussian Q-Function
  • 其他标题:Novel Composite Approximation for the Gaussian Q-Function
  • 本地全文:下载
  • 作者:Zoran H. Peric ; Aleksandar V. Markovic ; Natasa Z. Kontrec
  • 期刊名称:Studies About Languages
  • 印刷版ISSN:2029-7203
  • 出版年度:2020
  • 卷号:26
  • 期号:5
  • 页码:33-38
  • DOI:10.5755/j01.eie.26.5.26012
  • 出版社:Faculty of Humanities, Kaunas University of Technology
  • 摘要:This paper, by using Borjesson’s and Benitez’s approximation of Q-function, presents a novel and improved composite approximation of Q-function with wide applicability. The presented approach is very general and can be implemented on any observed interval. Based on the proposed approximation of Q-function, the average bit error rate is assessed by observing the transfer over Nakagami-m fading channel. The simplicity of the proposed approximation form in conjunction with yet another feature - utmost accurateness - appeared to be a better choice than the suggested approximations of similar complexity in terms of analyticity. The paper emphasizes the wide implementation possibilities in numerous tasks of communication theory and functional analysis that include Q-function.
  • 关键词:Gaussian distribution; Function approximation; Modulation; Nakagami distribution
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