Distributed Compressive Sensing for Correlated Information Sources

Jeonghun Park; Seunggye Hwang; Janghoon Yang; Kitae Bae; Hoon Ko; Dong Kim

Big Data Technologies and Applications. 7th International Conference, BDTA 2016, Seoul, South Korea, November 17–18, 2016, Proceedings

Research Article

Distributed Compressive Sensing for Correlated Information Sources

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@INPROCEEDINGS{10.1007/978-3-319-58967-1_15,
    author={Jeonghun Park and Seunggye Hwang and Janghoon Yang and Kitae Bae and Hoon Ko and Dong Kim},
    title={Distributed Compressive Sensing for Correlated Information Sources},
    proceedings={Big Data Technologies and Applications. 7th International Conference, BDTA  2016, Seoul, South Korea, November 17--18, 2016, Proceedings},
    proceedings_a={BDTA},
    year={2017},
    month={6},
    keywords={Compressive sensing Distributed source coding Sparsity Random projection Sensor networks},
    doi={10.1007/978-3-319-58967-1_15}
}

Jeonghun Park
Seunggye Hwang
Janghoon Yang
Kitae Bae
Hoon Ko
Dong Kim
Year: 2017
Distributed Compressive Sensing for Correlated Information Sources
BDTA
Springer
DOI: 10.1007/978-3-319-58967-1_15

Jeonghun Park¹^,*, Seunggye Hwang²^,*, Janghoon Yang³^,*, Kitae Bae³^,*, Hoon Ko⁴^,*, Dong Kim⁵^,*

1: University of Texas at Austin
2: LG Electronics
3: Seoul Media Institute of Technology
4: Sungkyunkwan University
5: Yonsei University

*Contact email: the20thboys@gmail.com, pisces_sg@yonsei.ac.kr, jhyag@smit.ac.kr, ktbae@smit.ac.kr, skoh21@skku.edu, dkkim@yonsei.ac.kr

Abstract

The abstract should summarize the contents of the paper and should Distributed Compressive Sensing (DCS) improves the signal recovery performance of multi signal ensembles by exploiting both intra- and inter-signal correlation and sparsity structure. In this paper, we propose a novel algorithm, which improves detection performance even without a priori-knowledge on the correlation structure for arbitrarily correlated sparse signal. Numerical results verify that the propose algorithm reduces the required number of measurements for correlated sparse signal detection compared to the existing DCS algorithm.

Keywords: Compressive sensing Distributed source coding Sparsity Random projection Sensor networks

Published: 2017-06-07
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-58967-1_15