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Padasip: An open-source Python toolbox for adaptive filtering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00362300" target="_blank" >RIV/68407700:21220/22:00362300 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.jocs.2022.101887" target="_blank" >https://doi.org/10.1016/j.jocs.2022.101887</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jocs.2022.101887" target="_blank" >10.1016/j.jocs.2022.101887</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Padasip: An open-source Python toolbox for adaptive filtering

  • Original language description

    Padasip is an open source software toolbox for adaptive filtering, implemented in Python. Adaptive filtering is a crucial part of today's signal processing in many fields. The most common adaptive filters and various useful utility functions are featured in Padasip. The toolbox is fast and usable for researchers with limited knowledge of Python programming and adaptive filtering. The proposed Python package is fully documented with minimal working examples and a showcase of more complex workflows. In recent years, Padasip has become a toolbox comparable to other state-of-the-art adaptive filtering libraries in other programming languages and commercial platforms.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000826" target="_blank" >EF16_019/0000826: Center of Advanced Aerospace Technology</a><br>

  • Continuities

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

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Computational Science

  • ISSN

    1877-7503

  • e-ISSN

    1877-7511

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    101887

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    000882200100001

  • EID of the result in the Scopus database

    2-s2.0-85140914131