Noise Learning-Based Denoising Autoencoder

This letter introduces a new denoiser that modifies the structure of denoising autoencoder (DAE), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of the input data. Then, the denoising is performed by subtracting the regenerated noise from the noisy input. Hence, nlDAE i...

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Vydané v:	IEEE communications letters Ročník 25; číslo 9; s. 2983 - 2987
Hlavní autori:	Lee, Woong-Hee, Ozger, Mustafa, Challita, Ursula, Sung, Ki Won
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Decoding Demodulation Encoding Internet of Things Learning Machine learning noise learning based denoising autoencoder Noise measurement Noise reduction precise localization Random variables signal restoration symbol demodulation Training
ISSN:	1089-7798, 1558-2558, 1558-2558
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