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Composite Vector Stochastic Processes Model in the Task of Signals' Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39902190" target="_blank" >RIV/00216275:25530/16:39902190 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7477402/" target="_blank" >http://ieeexplore.ieee.org/document/7477402/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/RADIOELEK.2016.7477402" target="_blank" >10.1109/RADIOELEK.2016.7477402</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Composite Vector Stochastic Processes Model in the Task of Signals' Recognition

  • Original language description

    The composite vector stochastic processes model is usable in many signal processing areas. Advantages of the model utilization, in task of electric motors acoustic signals parametric estimations, are shown in this paper. Models' results are compared with the traditional statistical methods for the signal analysis, in the two samples classes recognition task. The expressions for correlation function, autoregressive models' parameters calculation, and parametric power spectral density estimation in autoregressive composite vector stochastic processes representation, are shown in the paper. The proposed method for signals analysis, presented in this paper, enables to obtain information, which is difficult to gain by using traditional methods of statistical analysis.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Radioelektronika 2016 : conference proceedings

  • ISBN

    978-1-5090-1674-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    203-206

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Košice

  • Event date

    Apr 19, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000383741100042