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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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UT code for WoS article
000882200100001
EID of the result in the Scopus database
2-s2.0-85140914131