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  • 标题:Delta-sigma conversion for graph signals * * This work was partly supported by Grant-in-Aid for Challenging Exploratory Research #16K14283 from the Ministry of Education, Culture, Sports, Science, and Technology of Japan.
  • 本地全文:下载
  • 作者:N. Imoda ; S. Azuma ; T. Kitao
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:9303-9307
  • DOI:10.1016/j.ifacol.2017.08.1177
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we establish a framework of delta-sigma conversion of graph signals. First, we define delta-sigma conversion for graph signals by considering the corresponding conversion for standard time series signals. We next propose a conversion method based on spanning in-tree, for which it is proven that the method satisfies the conditions for delta-sigma conversion. The proposed method is demonstrated by numerical examples and application to halftone image processing.
  • 关键词:Keywordsgraph signaldelta-sigma conversionquantizationimage processing
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