Use of a trained denoising autoencoder to estimate the noise level in the ECG
Noise level estimation plays an important role in many applications of signal and image processing, like denoising, compression and detection. Recently, deep neural networks have also been increasingly used for this purpose. In this paper, we develop an effective algorithm of noise level estimation...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2021-10-01
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Series: | Current Directions in Biomedical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/cdbme-2021-2143 |