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Estimation of Statistical Parameters of the Digital Signal Using Artificial Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115069" target="_blank" >RIV/00216305:26220/15:PU115069 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.ieee.cz/" target="_blank" >http://www.ieee.cz/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of Statistical Parameters of the Digital Signal Using Artificial Neural Networks

  • Original language description

    This paper deals with the artificial neural networks (NN), which are used to estimate the statistical parameters of the digital signal. We will compare the results of training NN with Radial Basic Function and Feedforward neural network. In the case of Feedforward networks, several activation functions will be used. Then the results of training of all neural networks will be compared.

  • 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

    2015

  • 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 Kohútka 2015

  • ISBN

    978-80-214-5239-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    21-24

  • Publisher name

    Vysoké učení technické v Brně Fakulta elektrotechniky a komunikačních technologií

  • Place of publication

    http://www.ieee.cz/

  • Event location

    Kohútka, Czech republic

  • Event date

    Aug 17, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article