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A Multi-task Dynamic Compressed Sensing Algorithm for Streaming Signals Eliminating Blocking Effects

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

The performance of Multi-task compressed sensing for streaming signals is restricted by blocking effects caused by block sparse transformation. To solve this problem, a multi-task dynamic compressed sensing algorithm based on sparse Bayesian learning is proposed in this paper, which combines multi-task compressed sensing with sliding window based on LOT transform. Experiments show that the proposed algorithm has higher reconstruction accuracy and operation efficiency compared with its block DCT based version.

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Author information

Authors and Affiliations

  1. Navy Aviation University, Yantai, China

    Daoguang Dong, Guosheng Rui, Wenbiao Tian, Ge Liu, Haibo Zhang & Zhijun Yu

Authors
  1. Daoguang Dong
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  2. Guosheng Rui
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  3. Wenbiao Tian
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  4. Ge Liu
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  5. Haibo Zhang
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  6. Zhijun Yu
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Corresponding author

Correspondence to Daoguang Dong .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Cite this paper

Dong, D., Rui, G., Tian, W., Liu, G., Zhang, H., Yu, Z. (2020). A Multi-task Dynamic Compressed Sensing Algorithm for Streaming Signals Eliminating Blocking Effects. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_35

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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