Resolution of singularities via deep complex-valued neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Methods in The Applied Sciences"
DOI: 10.1002/mma.4434
Abstract: It has been reported that training deep neural networks is more difficult than training shallow neural networks. Hinton et al. proposed deep belief networks with a learning algorithm that trains one layer at a time. A… read more here.
Keywords: valued neural; deep neural; neural networks; singular points ... See more keywords
Phase Recovery With Deep Complex-Domain Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3160927
Abstract: Phase recovery (PR) of a signal from its amplitude measurements is one challenging task in signal processing. The key is suppressing the noise while rectifying the phase of the signal during the inversion process. This… read more here.
Keywords: recovery deep; complex domain; deep complex; phase recovery ... See more keywords
CV-GMTINet: GMTI Using a Deep Complex-Valued Convolutional Neural Network for Multichannel SAR-GMTI System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3047112
Abstract: Motivated by recent advances in deep learning, a novel deep complex-valued convolutional neural network (CV-CNN)-based method is proposed for ground moving target indication (GMTI) in a multichannel synthetic aperture radar (SAR) system. The proposed method… read more here.
Keywords: network; valued convolutional; multichannel sar; complex valued ... See more keywords