Výsledky vyhľadávania - "multiinnovation stochastic gradient algorithm"

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  1. 1

    Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle Autor Xu, Ling, Ding, Feng

    ISSN: 1751-9675, 1751-9683, 1751-9683
    Vydavateľské údaje: The Institution of Engineering and Technology 01.04.2017
    Vydané v IET signal processing (01.04.2017)
    “…In this study, the authors consider the parameter estimation problem of the response signal from a highly non-linear dynamical system. The step response…”
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    Journal Article
  2. 2

    Multi-innovation gradient estimation algorithms for multivariate equation-error autoregressive moving average systems based on the filtering technique Autor Ma, Ping, Ding, Feng, Hayat, Tasawar

    ISSN: 1751-8644, 1751-8652
    Vydavateľské údaje: The Institution of Engineering and Technology 03.09.2019
    Vydané v IET control theory & applications (03.09.2019)
    “…This study concentrates on the parameter estimation of multivariate pseudo-linear autoregressive moving average systems by means of the multi-innovation…”
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    Journal Article
  3. 3

    Parameter identification algorithm for ship manoeuvrability and wave peak model based multi-innovation stochastic gradient algorithm use data filtering technique Autor Liu, Yang, An, Shun, Wang, Longjin, He, Yan, Fan, Zhimin

    ISSN: 1051-2004, 1095-4333
    Vydavateľské údaje: Elsevier Inc 01.05.2024
    Vydané v Digital signal processing (01.05.2024)
    “…This paper addresses the issue of identifying ship motion parameters and wave peak frequency. Utilising the Euler discretisation principle, we establish a…”
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    Journal Article
  4. 4

    The iterative identification method for Hammerstein nonlinear channel Autor Su, Rui, Wang, Bin, Liu, Shigang

    ISBN: 1849198454, 9781849198455
    Vydavateľské údaje: Stevenage, UK IET 2014
    “…This paper is concerned with the iteration identification algorithm for Hammerstein model with complex-valued input for the fact that the existing algorithms…”
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