• Electro-Optic Technology Application
  • Vol. 33, Issue 3, 25 (2018)
XIE Dian-guang and LIU Jing-peng
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    XIE Dian-guang, LIU Jing-peng. Research on Non-scanning Laser Radar Imaging Technology Based on Compressive Sensing[J]. Electro-Optic Technology Application, 2018, 33(3): 25 Copy Citation Text show less
    References

    [3] Candès E, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.

    [4] Donoho D L. Compressed sensing information theory[J]. IEEE Transactions on, 2006, 52(4): 1289-1306.

    [5] Richard Baraniuk, Mark Davenport, Ronald DeVore, et al. A simple proof of the restricted isometry property for random matrices[J]. Constructive Approximation, 2008, 28(3): 256-263.

    [6] Knipel. Challenges of a digital micromirror device modeling and design[J]. SPIE, 1996, 2783: 135-145.

    [7] WAN Jun-li, AI Qing. Temperature compensation for gain of avalanche photodiode in laser gyro[J]. Transducer and Microsystem Technologies, 2007, 26(7): 18-20.

    [8] Mallat S, Zhang Z. Matching pursuit with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing, 1993, 41(12): 3397-3415.

    [9] Dai W, Milenkovic O. Subspace pursuit for compressive sensing signal reconstruction[J]. IEEE Transactions on Information Theory, 2009, 55(5): 2230-2249.

    [10] Donoho D L, Tsaig Y, Drori I, et al. Sparse solution of underdetermined linear equations by stage wise orthogonal matching pursuit[R]. Department of Statistics, Stanford University, USA, 2006.

    XIE Dian-guang, LIU Jing-peng. Research on Non-scanning Laser Radar Imaging Technology Based on Compressive Sensing[J]. Electro-Optic Technology Application, 2018, 33(3): 25
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