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  • 标题:Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
  • 本地全文:下载
  • 作者:Alina Kim ; Olga Lukovenkova ; Yuri Marapulets
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2017
  • 卷号:20
  • 页码:1-11
  • DOI:10.1051/e3sconf/20172002003
  • 出版社:EDP Sciences
  • 摘要:The article is devoted to a new approach in the analysis of geoacoustic pulses. The authors proposed a mathematical model based on a sparse representation of the signal. An adaptive matching pursuit method has been developed to identify model parameters. A parallel implementation of this algorithm is proposed on the CUDA platform. This allows real-time processing and modeling of signals.
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