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Experimental implementation of a neural network optical channel equalizer in restricted hardware usi...

Experimental implementation of a neural network optical channel equalizer in restricted hardware usi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c88a61f0e1294dcba115f065bf58947b

Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization

About this item

Full title

Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-05, Vol.12 (1), p.8713-8713, Article 8713

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The deployment of artificial neural networks-based optical channel equalizers on edge-computing devices is critically important for the next generation of optical communication systems. However, this is still a highly challenging problem, mainly due to the computational complexity of the artificial neural networks (NNs) required for the efficient e...

Alternative Titles

Full title

Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c88a61f0e1294dcba115f065bf58947b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c88a61f0e1294dcba115f065bf58947b

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-12563-0

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