中大機構典藏-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 987654321/39217
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 67621/67621 (100%)
造訪人次 : 23126092      線上人數 : 1174
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: http://ir.lib.ncu.edu.tw/handle/987654321/39217


    題名: COMPUTER-SIMULATION TEST ON APPLICATION OF INTEGRATION METHOD TO BIMODAL DISTRIBUTION UNDER DIFFUSION RANDOM NOISES
    作者: CHEN,FY;WANG,ZH;CHEN,MH;LIU,YH
    貢獻者: 物理研究所
    關鍵詞: LIGHT-SCATTERING DATA;STATISTICAL ERRORS
    日期: 1995
    上傳時間: 2010-07-08 14:08:38 (UTC+8)
    出版者: 中央大學
    摘要: The influence of the diffusion random noise on the applicability of the integration method to a bimodal distribution is systematically studied by computer simulation. A two-dimensional parameter space is constructed to represent all bimodal distributions. Four error functions are then defined in this parameter space to evaluate the integration method. It is found: (i) for any noise level, there exists a good area in parameter space where the integration method works successfully; (ii) as the noise level increases, the good area shrinks to a region where only those slow modes, having larger weightings and seperated far from the fast mode, could be well resolved; (iii) it is mainly the noise level, not the diffusion cosine period, which limits the applicability of the integration method. Our numerical study provides useful information for a quasi-elastic light scattering experiment to decide whether the integration method is applicable.
    關聯: CHINESE JOURNAL OF PHYSICS
    顯示於類別:[物理研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML363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 ©   - 回饋  - 隱私權政策聲明