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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112562

    Title: Robust transmission techniques for block compressed sensing
    Authors: H.-C. Huang;F.-C. Chang;Y.-H. Chen;P.-L. Chen
    Keywords: compressed sensing;robust transmission;multiple channel
    Date: 2017-10-11
    Issue Date: 2018-01-09 02:10:27 (UTC+8)
    Abstract: Compressed sensing is famous for its compression performances
    over existing schemes in this field. Conventional researches aim at reaching the
    larger compression ratio at the encoder, with acceptable quality of reconstructed
    images at the decoder. This implies the error-free transmission between the
    encoder and the decoder. Unlike existing researches which look for
    compression performances, we apply compressed sensing to digital images for
    robust transmission in this paper. For transmitting compressed sensing signals
    over lossy channels, error propagation would be expected, and the ways to
    apply some means of protection for compressed sensing signals would be much
    required for guaranteed quality of reconstructed images. We propose to transmit
    compressed sensing signals over multiple independent channels for robust
    transmission. By introducing the correlations between the compressed sensing
    signals from different channels, induced errors from the lossy channels can be
    effectively alleviated. Simulation results have presented the reconstructed
    image qualities, which depict the effectiveness for the protection of compressed
    sensing signals.
    Relation: 9-15
    Appears in Collections:[Department of Innovative Information and Technology] Proceeding

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