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  • 标题:Discrete Inequalities on LCT
  • 本地全文:下载
  • 作者:Guanlei Xu 1 , Xiaotong Wang 2 , Xiaogang Xu
  • 期刊名称:Journal of Signal and Information Processing
  • 印刷版ISSN:2159-4465
  • 电子版ISSN:2159-4481
  • 出版年度:2015
  • 卷号:06
  • 期号:02
  • 页码:146-152
  • DOI:10.4236/jsip.2015.62014
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Linear canonical transform (LCT) is widely used in physical optics, mathematics and information processing. This paper investigates the generalized uncertainty principles, which plays an important role in physics, of LCT for concentrated data in limited supports. The discrete generalized uncertainty relation, whose bounds are related to LCT parameters and data lengths, is derived in theory. The uncertainty principle discloses that the data in LCT domains may have much higher concentration than that in traditional domains.
  • 关键词:Linear Canonical Transform (LCT); Uncertainty Inequality
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