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    Parameter Estimation Algorithms for Hammerstein–Wiener Systems With Autoregressive Moving Average Noise 

    Source: Journal of Computational and Nonlinear Dynamics:;2016:;volume( 011 ):;issue: 003:;page 31012
    Author(s): Wang, Yanjiao; Ding, Feng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hammerstein–Wiener (H–W) systems are a class of typical nonlinear systems. This paper studies the gradientbased parameter estimation algorithms for H–W nonlinear systems based on the multiinnovation identification ...
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    An Objective Identification Technique for Regional Extreme Events 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 020:;page 7015
    Author(s): Ren, Fumin; Cui, Donglin; Gong, Zhiqiang; Wang, Yanjiao; Zou, Xukai; Li, Yiping; Wang, Shigong; Wang, Xiaoling
    Publisher: American Meteorological Society
    Abstract: n extreme weather and climate event does not only mean that an extreme occurs at an individual point (station), but more generally it has a certain impacted area and duration, which means that it is a regional extreme event ...
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