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Wavelet Use for EEG Signal Segmentation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F99%3A0003288" target="_blank" >RIV/60461373:22340/99:0003288 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wavelet Use for EEG Signal Segmentation

  • Original language description

    Wavelet transform is a modern tool for signal and image processing. It is used for decomposition, reconstruction, segmentation, denoising and prediction in many engineering and biomedical applications. The paper deals with fundamental differences the Wavelet Transform (WT) and the Short Time Fourier Transform (STFT). The advantage of the WT is in a wide range of analysing functions and the variable resolution for each frequency component. The main part of the paper describes detection ################################################################################################################################################################################################################## of local peaks, which are greater than the given threshold, providing margins of segments. Signal segmentation detects change-points in a non-stationary signal and it divides it into its quasi-stationary seg

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    1999

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 12th Conference Process Control '99

  • ISBN

    80-227-1228-0

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Slovak University of technology,

  • Place of publication

    Bratislava, Slovakia

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article