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Study of ADZT properties for spectral analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00186837" target="_blank" >RIV/68407700:21230/11:00186837 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21260/11:00186837

  • Result on the web

    <a href="http://www.wseas.us/e-library/conferences/2011/Florence/GAVTASC/GAVTASC-29.pdf" target="_blank" >http://www.wseas.us/e-library/conferences/2011/Florence/GAVTASC/GAVTASC-29.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Study of ADZT properties for spectral analysis

  • Original language description

    In this paper we present a new time-frequency transform called the Approximate Discrete Zolotarev Transform (ADZT), and demonstrate its efficacy in analysing non-stationary signals. Several experiments have confirmed two main properties of ADZT: i) in contrast to the Short-Time Fourier Transform (STFT) or the Wavelet Transform (WT), the choice of window type and length are not critical; and ii) the similarity between ADZT and the Fourier transform (FT) implies a simple physical interpretation of resultsin contrast to Wigner-Ville time-frequency distribution (WVD) or Choi-Williams time-frequency distribution (CWD).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • 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 11th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision

  • ISBN

    978-1-61804-027-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    171-176

  • Publisher name

    WSEAS Press

  • Place of publication

    Athens

  • Event location

    Florencie

  • Event date

    Aug 23, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article