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Browsing by Author Liu, S.

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  • Impulsive Noise Recovery and Elimination: A Sparse Machine Learning Based Approach

    • Authors: Liu, S.;  Advisor: -;  Participants: Xiao, L.; Huang, L.; Wang, X. (2019)

  • The performance of orthogonal frequency division multiplexing (OFDM) based wireless vehicular communication systems is faced with the great challenge of impulsive noise (IN), which could limit the application of OFDM in ultra-reliable lowlatency communication scenarios. In this paper, the challenge of IN elimination for OFDM-based wireless systems is efficiently overcome by the proposed sparse learning algorithms and probabilistic framework inspired by the emerging machine learning theories. For the first time, the sparse machine learning theory is introduced to IN recovery and elimination. Exploiting the measurement vector of IN observed from the reserved null sub-carriers as the inp...
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  • The Heihe Integrated Observatory Network: A Basin‐Scale Land Surface Processes Observatory in China

    • Authors: Liu, S.;  Advisor: -;  Participants: Li, X.; Xu, Z.; Che, T.; Xiao, Q. (2018)

  • The outcomes highlight the integrated research on land surface processes in the HRB and include observed trends, scaling methods, high spatiotemporal resolution remote sensing products, and model–data integration in the HRB, all of which are helpful to other endorheic basins in the “Silk Road Economic Belt.” Henceforth, the goal of the Heihe Integrated Observatory Network is to develop an intelligent monitoring system that incorporates ground‐based observatory networks, unmanned aerial vehicles, and multi‐source satellites through the Internet of Things technology. Furthermore, biogeochemical processes observation will be improved, and the study of integrating ground observations, rem...