New Concept of Analogue Adaptive Filter Based on Fully Analogue Artificial Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00360998" target="_blank" >RIV/68407700:21230/22:00360998 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/NTSP54843.2022.9920436" target="_blank" >https://doi.org/10.23919/NTSP54843.2022.9920436</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/NTSP54843.2022.9920436" target="_blank" >10.23919/NTSP54843.2022.9920436</a>
Alternative languages
Result language
angličtina
Original language name
New Concept of Analogue Adaptive Filter Based on Fully Analogue Artificial Neural Network
Original language description
This article presents a new concept of fully analogue adaptive filters. The adaptation is based on fully analogue neural networks. With the use of a filter bank, it can be used for high frequency and real-time adaptation. The properties of this concept are verified using electronic circuit simulations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
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 International Conference on New Trends in Signal Processing, NTSP 2022
ISBN
978-80-8040-610-3
ISSN
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e-ISSN
1339-1445
Number of pages
4
Pages from-to
1-4
Publisher name
Akadémia ozbrojených síl
Place of publication
Liptovský Mikuláš
Event location
Hotel Chopok, Demanovska dolina
Event date
Oct 12, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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