Výsledky vyhľadávania - "Noise learning based denoising autoencoder"

Noise Learning-Based Denoising Autoencoder

Autori: Woong-Hee Lee Mustafa Ozger Ursula Challita a ďalší

Zdroj: Lee, W H, Ozger, M, Challita, U & Sung, K W 2021, 'Noise Learning-Based Denoising Autoencoder', IEEE Communications Letters, vol. 25, no. 9, 9462839, pp. 2983-2987. https://doi.org/10.1109/LCOMM.2021.3091800
IEEE Communications Letters

Predmety: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Noise learning based denoising autoencoder, Precise localization, 02 engineering and technology, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Symbol demodulation, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Signal restoration

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/4234/9531652/09462839.pdf
http://arxiv.org/abs/2101.07937
https://ieeexplore.ieee.org/document/9462839
https://dblp.uni-trier.de/db/journals/corr/corr2101.html#abs-2101-07937

Noise Learning-Based Denoising Autoencoder

Autori: Lee, Woong-Hee Ozger, Mustafa Challita, Ursula a ďalší

Témy: Noise reduction, Training, Noise measurement, Random variables, Encoding, Decoding, Internet of Things, Machine learning, noise learning based denoising autoencoder, signal restoration, symbol demodulation, precise localization, Signal Processing, Signalbehandling, Telecommunications, Telekommunikation, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302636
IEEE Communications Letters, 1089-7798, 2021, 25:9, s. 2983-2987