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Detecting Nonlinear Oscillations in Broadband Signals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00323053" target="_blank" >RIV/67985807:_____/09:00323053 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detecting Nonlinear Oscillations in Broadband Signals

  • Original language description

    The work deals with the problem of detecting nonlinear oscillatory activity in broadband time series. The method is based on a statistical test discriminating nonlinear activity from linearly filtered noise. Information about the nonlineary of the oscillatory process is important for subsequent analysis by methods of phase dynamics such as phase synchronization detection.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/7E08027" target="_blank" >7E08027: Large scale interactions in brain networks and their breakdown in brain diseases</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Chaos

  • ISSN

    1054-1500

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    -

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    7

  • Pages from-to

  • UT code for WoS article

    000264777600054

  • EID of the result in the Scopus database