FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification

FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification

This proposed research explores a novel approach to image classification by deploying a complex-valued neural network (CVNN) on a Field-Programmable Gate Array (FPGA), specifically for classifying 2D images transformed into polar form. The aim of this research is to address the limitations of existi...

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Bibliographic Details
Main Authors:	Maruf Ahmad, Lei Zhang, Muhammad E. H. Chowdhury
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Sensors
Subjects:	image classification complex-valued neural network FPGA implementation CVNN on FPGA
Online Access:	https://www.mdpi.com/1424-8220/24/3/897

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