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...
Main Authors: | , , |
---|---|
Format: | Article |
Sprog: | English |
Udgivet: |
MDPI AG
2024-01-01
|
Serier: | Sensors |
Fag: | |
Online adgang: | https://www.mdpi.com/1424-8220/24/3/897 |