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Acta Physica Sinica, Volume. 68, Issue 18, 180701-1(2019)

Statistical compressive sensing based on convolutional Gaussian mixture model

Ren Wang1、*, Jing-Bo Guo2, Jun-Peng Hui1, Ze Wang1, Hong-Jun Liu1, Yuan-Nan Xu1, and Yun-Fo Liu1
Author Affiliations
  • 1China Academy of Launch Vehicle Technology R&D Center, Beijing 100076, China
  • 2Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
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    Ren Wang, Jing-Bo Guo, Jun-Peng Hui, Ze Wang, Hong-Jun Liu, Yuan-Nan Xu, Yun-Fo Liu. Statistical compressive sensing based on convolutional Gaussian mixture model[J]. Acta Physica Sinica, 2019, 68(18): 180701-1

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    Paper Information

    Received: Mar. 24, 2019

    Accepted: --

    Published Online: Jun. 28, 2020

    The Author Email:

    DOI:10.7498/aps.68.20190414

    Topics

    Nuclear physics
    Particles and fields
    Particle and nuclear astrophysics and cosmology