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  • 标题:On Inversion of Continuous Wavelet Transform
  • 本地全文:下载
  • 作者:Lintao Liu ; Xiaoqing Su ; Guocheng Wang
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2015
  • 卷号:05
  • 期号:07
  • 页码:714-720
  • DOI:10.4236/ojs.2015.57071
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:This study deduces a general inversion of continuous wavelet transform (CWT) with timescale being real rather than positive. In conventional CWT inversion, wavelet’s dual is assumed to be a reconstruction wavelet or a localized function. This study finds that wavelet’s dual can be a harmonic which is not local. This finding leads to new CWT inversion formulas. It also justifies the concept of normal wavelet transform which is useful in time-frequency analysis and time-frequency filtering. This study also proves a law for CWT inversion: either wavelet or its dual must integrate to zero.
  • 关键词:Continuous Wavelet Transform;Wavelet’s Dual;Inversion;Normal Wavelet Transform;Time-Frequency Filtering
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