A Modified KNN Algorithm for High-Performance Computing on FPGA of Real-Time m-QAM Demodulators

A Modified KNN Algorithm for High-Performance Computing on FPGA of Real-Time m-QAM Demodulators

A methodology for scalable and concurrent real-time implementation of highly recurrent algorithms is presented and experimentally validated using the AWS-FPGA. This paper presents a parallel implementation of a KNN algorithm focused on the m-QAM demodulators using high-level synthesis for fast proto...

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Bibliographic Details
Main Authors: David Marquez-Viloria, Luis Castano-Londono, Neil Guerrero-Gonzalez
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
constellation diagram
FPGA
K-nearest neighbors
machine learning
optical communications
QAM
Online Access:https://www.mdpi.com/2079-9292/10/5/627

Internet

https://www.mdpi.com/2079-9292/10/5/627

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