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

Internet

https://www.mdpi.com/1424-8220/24/3/897

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