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

Kód výsledku v 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>
Výsledek na webu
<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>

Jazyk výsledku
angličtina
Název v původním jazyce
High-speed adaptive analog filter based on fully analog artificial neural network
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
High-speed adaptive analog filter based on fully analog artificial neural network
Popis výsledku anglicky
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.

Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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