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Article . 2022
License: CC BY
Data sources: Datacite
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Conference object . 2022
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Emulating Diode Circuits with Differentiable Wave Digital Filters

Authors: Chowdhury, Jatin; Clarke, Christopher Johann;

Emulating Diode Circuits with Differentiable Wave Digital Filters

Abstract

Wave Digital Filters and neural networks are two popular solutions for circuit modelling. This paper describes the development of a Differentiable Wave Digital Filters library. Diode clipper circuits were constructed. A dataset was collected from the circuits and, with the library, was used to train a real-time deployable model. The trained model has higher accuracy and similar computation time when compared to traditional white-box models.

Keywords

Neural Networks, Wave Digital Filters, Digital Signal Processing, Virtual Analog Modelling, Grey-Box Modelling

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
588
452
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