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    Distributed local linear parameter estimation using gaussian SPAWN by Leng, Mei, Tay, Wee Peng, Quek, Tony Q. S., Shin, Hyundong

    Published 2019
    “…We show that gSPAWN converges in mean and has mean-square stability under some technical sufficient conditions, and we describe an application of gSPAWN to a network localization problem in non-line-of-sight environments. Numerical results suggest that gSPAWN converges much faster in general than the diffusion method, and has lower communication costs per sensor, with comparable root-mean-square errors.…”
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    Journal Article
  18. 298

    15.818 Pricing, Spring 2005 by Tucker, Catherine

    Published 2005
    Subjects:
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    Learning Object
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