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    TSP
    2010
    174views Artificial Intelligence» more  TSP 2010»
    Estimating multiple frequency-hopping signal parameters via sparse linear regression
    12 years 11 months ago
    Estimating multiple frequency-hopping signal parameters via sparse linear regression
    Download  www.telecom.tuc.gr
    Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
    Daniele Angelosante, Georgios B. Giannakis, Nichol...
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    ICASSP
    2010
    IEEE
    162views Signal Processing» more  ICASSP 2010»
    Distributed Lasso for in-network linear regression
    13 years 5 months ago
    Distributed Lasso for in-network linear regression
    Download  iie.fing.edu.uy
    The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
    Juan Andrés Bazerque, Gonzalo Mateos, Georg...
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