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Adaptive signal processing using maximum entropy on the mean method and Monte Carlo analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F03%3A00000372" target="_blank" >RIV/49777513:23220/03:00000372 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23220/03:00000374

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive signal processing using maximum entropy on the mean method and Monte Carlo analysis

  • Original language description

    Designed signal and image processing method enables to avoid impact of measurement system on experimental evidence, mitigates noises and increases precision of obtained data. The simulations in Matlab were used to verify the proposed algorithm consistedof two methods: the Maximum Entropy on the Mean Method (MEMM) and the Expectation-Minimization Algorithm (EM algorithm). In the exponential family, the E step of EM method gives similar results as the MEMM that is why we combine both methods in order toexplore the advantages of both. Proposed algorithm enables to reconstruct real data that object produces. Importance of this method in the signal and image processing and diagnostics is obvious.

  • Czech name

    Adaptivní zpracování signálů s využitím MEMM a Monte Carlo analýzy

  • Czech description

    Navržená metoda adaptivního zpracování signálů je založena na metodě MEMM v kombinaci s Monte Carlo analýzou. Chování navrženého algoritmu je ověřeno simulacemi realizovanými v prostřeí Matlab na virtuálním signálu.

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

    2003

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MATLAB 2003

  • ISBN

    80-7080-526-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    191-196

  • Publisher name

    HUMUSOFT

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Jan 1, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article