High-speed adaptive analog filter based on fully analog artificial neural network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00370237" target="_blank" >RIV/68407700:21230/23:00370237 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/cta.3701" target="_blank" >https://doi.org/10.1002/cta.3701</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/cta.3701" target="_blank" >10.1002/cta.3701</a>

Result language
angličtina
Original language name
High-speed adaptive analog filter based on fully analog artificial neural network
Original language description
This paper presents an innovative concept of a high-speed and higher order adaptive filter. A fully analog artificial neural network handles the adaption by using a filter bank for filtering and learning through analog feedback inspired by backpropagation. There is no clock control used in this concept, which makes real-time adaption possible even for high frequencies. Its functionality is shown by several electrical circuit simulations involving component inaccuracies as well as a commonly used filter example.
Czech name
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Czech description
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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
20201 - Electrical and electronic engineering

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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