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Recognition of non-Gaussian signals against a background of noise using higher order statistics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F14%3A39898484" target="_blank" >RIV/00216275:25530/14:39898484 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6923351&searchWithin%3Dp_Last_Names%3Akudriavtseva%26matchBoolean%3Dtrue%26queryText%3D%28p_Authors%3Akudriavtseva%29" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6923351&searchWithin%3Dp_Last_Names%3Akudriavtseva%26matchBoolean%3Dtrue%26queryText%3D%28p_Authors%3Akudriavtseva%29</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ELMAR.2014.6923351" target="_blank" >10.1109/ELMAR.2014.6923351</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Recognition of non-Gaussian signals against a background of noise using higher order statistics

  • Original language description

    The aim of the paper is to study the possibility of advancing noised non-Gaussian processes recognition using the features based on higher-order statistics. Several new recognition features based on the higher-order statistics, the basis of advancing recognition results in the presence of noise, decision rules and recognition system frameworks we proposed in the paper. The efficiency test of the proposed method is performed by statistical modeling. We proposed features of recognition based on the third-order statistics.

  • 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

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    56th International Symposium ELMAR-2014

  • ISBN

    978-953-184-199-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    "p"

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    Los Alamitos

  • Event location

    Zadar

  • Event date

    Sep 10, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article