English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58286/91808 (63%)
Visitors : 13821909      Online Users : 55
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/119806


    Title: Error protection and correction for block compressive sensing over the binary symmetric channels
    Authors: Huang, Hsiang-Cheh;Chen, Yueh-Hong;Chang, Feng-Cheng;Chen, Po-Liang
    Keywords: Image coding;Simulation;Decoding;Polar codes;Compressed sensing;Image reconstruction;Standards
    Date: 2020-12-21
    Issue Date: 2020-12-31 12:10:50 (UTC+8)
    Abstract: Protection scheme for compressed media form an inevitable part for data transmission. Here we choose block compressive sensing for image compression, and expect to transmit over the binary symmetric channels (BSC). Upon completion of compression at the encoder, we apply multiple description coding (MDC) for error resilience, and the polar codes for error correction. After reception of the possibly erroneous data from BSC, reverse operations for polar decoding and MDC compensation would be applied accordingly, and reconstructed image can be acquired. Simulation results have demonstrated the effectiveness for the protection schemes with the enhancements of the quality of reconstructed images.
    DOI: 10.1109/GCCE50665.2020.9292065
    Appears in Collections:[Department of Innovative Information and Technology] Proceeding

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML15View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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