中大學術數位典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/102860
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 94201/94201 (100%)
造訪人次 : 81654003      線上人數 : 4681
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋


    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/102860


    題名: On the computational complexity of the empirical mode decomposition algorithm
    作者: 羅孟宗;Wang, Yung-Hung;Yeh, Chien-Hung;Young, Hsu-Wen Vincent;Hu, Kun;Lo, Men-Tzung
    貢獻者: 生醫理工學院生醫科學與工程學系
    關鍵詞: Complexity;Computation;Computational efficiency;Decomposition;EEMD;EMD;Empirical analysis;Equivalence;Fourier transforms;Space;Statistical mechanics;Time
    日期: 2014-04-15
    上傳時間: 2026-04-23 11:18:17 (UTC+8)
    出版者: Elsevier;Elsevier B.V
    摘要: 摘要: It has been claimed that the empirical mode decomposition (EMD) and its improved version the ensemble EMD (EEMD) are computation intensive. In this study we will prove that the time complexity of the EMD/EEMD, which has never been analyzed before, is actually equivalent to that of the Fourier Transform. Numerical examples are presented to verify that EMD/EEMD is, in fact, a computationally efficient method. •The order of the computational complexity of the EMD is equivalent to FFT.•Optimized program is proposed to speed up the computation of EMD up to 1000 times.•Fast HHT with optimized EMD/EEMD algorithm can operate in real-time.
    出版者: Elsevier B.V
    出版日期: 2014-04-15
    出處: Physica A, 2014-04, Vol.400, p.159-167
    版權: 2014 Elsevier B.V.
    識別號: ISSN: 0378-4371
    識別號: EISSN: 1873-2119
    識別號: DOI: 10.1016/j.physa.2014.01.020
    顯示於類別:[生醫科學與工程學系] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML25檢視/開啟


    在NCUIR中所有的資料項目都受到原著作權保護.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明