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Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancell...

Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancell...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c5af6b5221fd4210bc5afa873fbbe4b2

Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks

About this item

Full title

Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks

Publisher

Cham: Springer International Publishing

Journal title

EURASIP journal on advances in signal processing, 2023-12, Vol.2023 (1), p.130-1, Article 130

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Alternative Titles

Full title

Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c5af6b5221fd4210bc5afa873fbbe4b2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c5af6b5221fd4210bc5afa873fbbe4b2

Other Identifiers

ISSN

1687-6180,1687-6172

E-ISSN

1687-6180

DOI

10.1186/s13634-023-01090-3

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