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One Dimensional Nonlinear Adaptive Filters for Impulse Noise Suppression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F06%3A00000112" target="_blank" >RIV/49777513:23220/06:00000112 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23220/06:00000113

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    One Dimensional Nonlinear Adaptive Filters for Impulse Noise Suppression

  • Original language description

    Adaptive algorithms are used to adjust the coefficients of the digital filter such that error signal is minimized according to some criterion, for example in the least squares sense. The Nonlinear Normalized Mean Square algorithm is applicable to a widevariety of nonlinear filters. In this paper, algorithms are developed for an optimal time-varying step-size for FIR, Volterra, weighted median and weighted myriad filters.

  • Czech name

    Nelineární adaptivní filtry pro potlačení impulsního rušení

  • Czech description

    Adaptivní algoritmy jsou použity pro nastavení koeficientů nelineárních číslicových filtrů v tomto článku pro FIR, Volterův, váhový mediánový a váhový myriádový filtr.

Classification

  • Type

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

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2006

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Wseas Transaction on Signal Processing

  • ISSN

    1790-5022

  • e-ISSN

  • Volume of the periodical

  • Issue of the periodical within the volume

  • Country of publishing house

    GR - GREECE

  • Number of pages

    6

  • Pages from-to

    337

  • UT code for WoS article

  • EID of the result in the Scopus database