Log in to save to my catalogue

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reductio...

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reductio...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f0ffe87966cb4ae8a04fef89d01699d0

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reduction in Vehicular Networks

About this item

Full title

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reduction in Vehicular Networks

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2018-12, Vol.19 (1), p.116

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Nowadays, the sensor community has become wireless, increasing their potential and applications. In particular, these emerging technologies are promising for vehicles’ communications (V2V) to dramatically reduce the number of fatal roadway accidents by providing early warnings. The ECMA-368 wireless communication standard has been developed and use...

Alternative Titles

Full title

Practical Guidelines for Approaching the Implementation of Neural Networks on FPGA for PAPR Reduction in Vehicular Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f0ffe87966cb4ae8a04fef89d01699d0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f0ffe87966cb4ae8a04fef89d01699d0

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s19010116

How to access this item