Search results for: LOCALLY STATIONARY PROCESSES - Bridge of Knowledge

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Search results for: LOCALLY STATIONARY PROCESSES
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Search results for: LOCALLY STATIONARY PROCESSES

  • On Adaptive Spectrum Estimation of Multivariate Autoregressive Locally Stationary Processes

    Publication

    Autoregressive modeling is a widespread parametricspectrum estimation method. It is well known that, in the caseof stationary processes with unknown order, its accuracy canbe improved by averaging models of different complexity usingsuitably chosen weights. The paper proposes an extension of thistechnique to the case of multivariate locally stationary processes.The proposed solution is based on local autoregressive...

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  • On adaptive covariance and spectrum estimation of locally stationary multivariate processes

    Publication

    - AUTOMATICA - Year 2017

    When estimating the correlation/spectral structure of a locally stationary process, one has to make two important decisions. First, one should choose the so-called estimation bandwidth, inversely proportional to the effective width of the local analysis window, in the way that complies with the degree of signal nonstationarity. Too small bandwidth may result in an excessive estimation bias, while too large bandwidth may cause excessive...

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  • On adaptive selection of estimation bandwidth for analysis of locally stationary multivariate processes

    Publication

    - Year 2016

    When estimating the correlation/spectral structure of a locally stationary process, one should choose the so-called estimation bandwidth, related to the effective width of the local analysis window. The choice should comply with the degree of signal nonstationarity. Too small bandwidth may result in an excessive estimation bias, while too large bandwidth may cause excessive estimation variance. The paper presents a novel method...

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  • Two-Stage Identification of Locally Stationary Autoregressive Processes and its Application to the Parametric Spectrum Estimation

    Publication

    The problem of identification of a nonstationary autoregressive process with unknown, and possibly time-varying, rate of parameter changes, is considered and solved using the parallel estimation approach. The proposed two-stage estimation scheme, which combines the local estimation approach with the basis function one, offers both quantitative and qualitative improvements compared with the currently used single-stage methods.

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  • Identification of Non-stationary and Non-linear Drying Processes

    Publication

    - Year 2019

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  • Jacek Ryl dr hab. inż.

    I have obtained my PhD in chemical technology in 2010. In the same year, I was employed at the Department of Electrochemistry, Corrosion and Materials Engineering at the Faculty of Chemistry. In 2018 I received habilitation at the Faculty of Chemistry GUT in technical sciences in the discipline of chemical technology. From 2021, he was employed at the Institute of Nanotechnology and Materials Science at the Faculty of Technical...

  • Data on solutions of Hes1 system

    Open Research Data
    open access

    Hes1 protein (hairy and enhancer of split 1) belongs to the helix-loop-helix (bHLH) family of transcription proteins, i.e. DNA-binding proteins in the promoter region or in another region where regulation of transcription processes occurs.    The database collects data on solutions of the Hes1 systems with multiple binding sites and the dimer formation...

  • Processes

    Journals

    ISSN: 2227-9717

  • On extremal sizes of locally k-tree graphs

    Publication

    - CZECHOSLOVAK MATHEMATICAL JOURNAL - Year 2010

    A graph G is a locally k-tree graph if for any vertex v the subgraph induced by the neighbours of v is a k-tree, k>=0, where 0-tree is an edgeless graph, 1-tree is a tree. We characterize the minimum-size locally k-trees with n vertices. The minimum-size connected locally k-trees are simply (k + 1)-trees. For k >= 1, we construct locally k-trees which are maximal with respect to the spanning subgraph relation. Consequently, the...

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  • Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

    e-Learning Courses
    • K. J. Kaliński

    Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...