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  • 标题:New Adaptive Compensator Robust to Memoryless Nonlinear Distortion
  • 本地全文:下载
  • 作者:Oh Sang Kwon
  • 期刊名称:Intelligent Information Management
  • 印刷版ISSN:2150-8194
  • 电子版ISSN:2150-8208
  • 出版年度:2014
  • 卷号:06
  • 期号:01
  • 页码:8-11
  • DOI:10.4236/iim.2014.61002
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, the new hybrid adaptive Volterra filter was proposed to be applied for compensating the nonlinear distortion of memoryless nonlinear systems with saturation characteristics. Through computer simulations as well as the analytical analysis, it could be shown that it is possible for both conventional Volterra filter and proposed Volterra filter, to be applied for linearizing the memoryless nonlinear system with nonlinear distortion. Also, the simulation results demonstrated that the proposed Volterra filter may have faster convergence speed and better capability of compensating the nonlinear distortion than the conventional Volterra filter.
  • 关键词:Adaptive; Nonlinear; Volterra; Compensator; Convergence
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