English  |  正體中文  |  简体中文  |  Items with full text/Total items : 55221/89519 (62%)
Visitors : 10720656      Online Users : 34
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/987654321/117958

    Title: Error resilience for block compressed sensing with multiple-channel transmission
    Authors: Huang, H.-C.;Chen, P.-L.;Chang, F.-C.
    Keywords: block compressed sensing;error resilience;reconstruction
    Date: 2019-12-24
    Issue Date: 2020-01-06 12:10:31 (UTC+8)
    Abstract: Compressed sensing is well known for its superior compression performance, in existing schemes, in lossy compression. Conventional research aims to reach a larger compression ratio at the encoder, with acceptable quality reconstructed images at the decoder. This implies looking for compression performance with error-free transmission between the encoder and the decoder. Besides looking at compression performance, we applied block compressed sensing to digital images for robust transmission. For transmission over lossy channels, error propagation or data loss can be expected, and protection mechanisms for compressed sensing signals are required for guaranteed quality of the reconstructed images. We propose transmitting compressed sensing signals over multiple independent channels for robust transmission. By introducing correlations with multiple-description coding, which is an effective means for error resilient coding, errors induced in the lossy channels can effectively be alleviated. Simulation results presented the applicability and superiority of performance, depicting the effectiveness of protection of compressed sensing signals.
    Relation: Applied Sciences 10(1), p.161
    DOI: 10.3390/app10010161
    Appears in Collections:[Department of Innovative Information and Technology] Journal Article

    Files in This Item:

    File Description SizeFormat
    Error Resilience for Block Compressed Sensing with Multiple-Channel Transmission.pdf7421KbAdobe PDF0View/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