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Wavelet Transform Based m-QAM Classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F14%3A00523003" target="_blank" >RIV/60162694:G43__/14:00523003 - isvavai.cz</a>

  • Result on the web

    <a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wavelet Transform Based m-QAM Classification

  • Original language description

    This paper deals with the possible method of recognition and classification of digital m-QAM modulations. Classification method is based on the wavelet transform of an analyzed signal and its correlation with specific patters in the wavelet domain. The paper describes the main solved issues within the classification algorithm. The classification algorithm performance was tested on both, artificial and real segments of m-QAM.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    KA - Militarism

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Sborník příspěvků studentské konference Zvůle 2014

  • ISBN

    978-80-214-5005-9

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    27-29

  • Publisher name

    Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

  • Place of publication

    Brno

  • Event location

    Zvůle

  • Event date

    Aug 25, 2014

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article