2 papers
cs.LG2021
Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder
Subham Nagar, Ahlad Kumar
This paper presents a fractional one-dimensional convolutional neural network (CNN) autoencoder for denoising the Electroencephalogram (EEG) signals which often get contaminated wi…
cs.LG2021
Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed AutoEncoder
Subham Nagar, Ahlad Kumar, M. N. S. Swamy
A fractional-based compressed auto-encoder architecture has been introduced to solve the problem of denoising electroencephalogram (EEG) signals. The architecture makes use of frac…