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Local Measurement and Diffusion Reconstruction for Signals on a Weighted Graph

机译:加权图上信号的局部测量和扩散重建

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摘要

Bandlimited graph signals on an unweighted graph can be reconstructed by its local measurement, which is a generalization of declination. Since most signals are weighted in real life, we extend and improve the iterative local measurement reconstruction (ILMR) by introducing the diffusion operators to reconstruct bandlimited signals on a weighted graph. We prove that the proposed reconstruction converges to the original signal. Moreover, the simulation results demonstrate that the improved algorithm has better convergence and has robustness against noise.
机译:未加权图上的带限图信号可以通过其局部测量来重建,这是磁偏角的一种概括。由于大多数信号在现实生活中都是经过加权的,因此我们通过引入扩散算子来重建加权图上的带宽受限信号,来扩展和改进迭代局部测量重建(ILMR)。我们证明了所提出的重构收敛于原始信号。仿真结果表明,改进算法具有较好的收敛性和鲁棒性。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第9期|3264294.1-3264294.8|共8页
  • 作者

    Jiang Yingchun; Li Ting;

  • 作者单位

    Guangxi Coll & Univ Key Lab Data Anal & Computat, Guilin, Peoples R China;

    Guilin Univ Elect Technol, Sch Math & Computat Sci, Guilin, Peoples R China;

    Guangxi Key Lab Cryptog & Informat Secur, Guilin, Peoples R China;

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  • 正文语种 eng
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