Abstract: Currently, two main research lines in efficient context modeling for image dehazing are tailoring effective feature modulation mechanisms and utilizing the Fourier transform more precisely.

This study proposes robust convolutional neural network (CNN)-based automatic modulation classification (AMC) techniques. Traditional AMCs may be classified into two types: those that rely on ML ...