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Wavelet Spectrum Thresholding Rules

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F02%3APU29675" target="_blank" >RIV/00216305:26220/02:PU29675 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wavelet Spectrum Thresholding Rules

  • Original language description

    The wavelet-type signal analysis has recently been a much used discipline, whose range of applications spreads steadily. Two of its most important applications are signal denoising and data compression. In these areas, so called thresholding is an important technique of signal processing. Selected methods of thresholding and their statistical properties are introduced in this paper.

  • 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/GA102%2F00%2F1084" target="_blank" >GA102/00/1084: RTD technology of sound separation from speech hidden in noise</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • 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 Fourth International Conference on Recent Advances in Soft Computing

  • ISBN

    1-84233-0764

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    477-482

  • Publisher name

    Nottingham University Press

  • Place of publication

    Nottingham, GB

  • Event location

    Nottingham

  • Event date

    Dec 12, 2002

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article