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  • 标题:Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series
  • 本地全文:下载
  • 作者:O. Mihálik ; D. Michalík ; P. Jura
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:27
  • 页码:388-393
  • DOI:10.1016/j.ifacol.2019.12.691
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Band-limited signal extrapolation and spectral super-resolutions are closely related. They both can be achieved using Slepian series. This method is often believed to be dependent on computing definite integrals. Instead of using numerical integration, a simple and reliable method, which can be implemented in MATLAB, is presented. This way, it is much easier to investigated the extent to which a signal can be extrapolated from its samples taken in a finite interval. The proposed method is tested with data from a real microphone array.
  • 关键词:KeywordsProlate spheroidal wave functionsSlepian seriesSignal extrapolationSampled signalsFrequency spectrumFourier analysisBandwidth
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