English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 14633564      Online Users : 67
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機資訊學院學士班 > 期刊論文 >  Optimum designs of the LMS algorithm using two step sizes for adaptive FIR filtering

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/41811

    Title: Optimum designs of the LMS algorithm using two step sizes for adaptive FIR filtering
    Authors: Chin-Liang Wang;Rong-Yih Chen
    教師: 王晉良
    Date: 1992
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Signal Processing,Volume 26, Issue 2, February 1992, Pages 197-204
    Keywords: adaptive filters
    digital filters
    least squares approximations
    Abstract: © 1992 Institute of Electrical and Electronics Engineers - A two step-size LMS algorithm, called dual LMS (DLMS) algorithm, is proposed for adaptive FIR filtering. The new algorithm operates as if two LMS algorithms are working in cooperation, where the transition threshold between the two LMS algorithms and their step sizes are optimally chosen to yield the most rapid convergence under an initial and desired mean-square error. Over the range of interest in practical applications, it is shown via analysis and numerical evaluation that the worst-case initial mean-square error can be used to estimate the optimum switching instant from the first LMS algorithm to the second one. As compared to the original LMS algorithm, the DLMS algorithm gains a great improvement in convergence performance with little increase in hardware complexity. Computer simulation is employed to show the effectiveness of the algorithm
    URI: http://www.ieee.org/
    Appears in Collections:[電機資訊學院學士班] 期刊論文

    Files in This Item:

    File SizeFormat


    SFX Query


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback