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Using ADZT for Signal Reconstruction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00210281" target="_blank" >RIV/68407700:21230/13:00210281 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21260/13:00210281

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6662335&refinements%3D4279724884%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6662190%29" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6662335&refinements%3D4279724884%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6662190%29</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ECCTD.2013.6662335" target="_blank" >10.1109/ECCTD.2013.6662335</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using ADZT for Signal Reconstruction

  • Original language description

    The Approximate Discrete Zolotarev Transform (ADZT) has been introduced recently. The aim of this paper is to describe the possibilities and limitations of ADZT when used for a signal reconstruction. The signal reconstruction is shown for three types ofsignals. Only one signal segment is used, that is why there is no need of an overlap-add (or overlap-save) technique. ADZT behaviour is compared to DFT behaviour. Unlike DFT synthesis vectors, the ADZT synthesis vectors are signal dependent. There is only one constraint: these vectors are given by the inversion of a linear combination of the DFT base vectors. This fact forms the main difference between DFT and ADZT syntheses. The signal-dependent base of ADZT brings some advantages but also some new problems with the interpretation of the results.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP102%2F11%2F1795" target="_blank" >GAP102/11/1795: Novel selective transforms for non-stationary signal processing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Circuit Theory and Design (ECCTD), 2013 European Conference on

  • ISBN

    978-3-00-043430-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    Technische Universität

  • Place of publication

    Dresden

  • Event location

    Dresden

  • Event date

    Sep 8, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article