English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 14633554      Online Users : 70
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 > 研究中心 > 電腦與通訊科技研發中心 > 技術報告 >  Convolutional codes for peak-to-average power ratio reduction in OFDM

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13482

    Title: Convolutional codes for peak-to-average power ratio reduction in OFDM
    Authors: Chao-Yu Chen
    Chung-Hsuan Wang
    Chi-chao Chao
    教師: 趙啟超
    Date: 2003
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Relation: Information Theory, 2003. Proceedings. IEEE International Symposium on
    29 June-4 July 2003 Page(s):5
    Keywords: OFDM modulation
    Viterbi decoding
    block codes
    convolutional codes
    Abstract: One of the disadvantages of orthogonal frequency division multiplexing (OFDM) systems is that OFDM signals may have high peak-to-average power ratio (PAPR). Almost all the previously proposed coding approaches dealing with this problem employ block codes. In this paper, we propose terminated convolutional codes with offset for PAPR reduction. The constructed convolutional codes, which can be easily decoded by using the Viterbi algorithm, have low PAPR and acceptable code rates
    Relation Link: http://webservices.ieee.org/pindex_basic.html
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13482
    Appears in Collections:[電腦與通訊科技研發中心] 技術報告
    [通訊工程研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    2030174030011.pdf123KbAdobe PDF759View/Open


    SFX Query


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