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cs.LG2023
IRCNN: An Enhanced Iterative Residual Convolutional Neural Network for Non-stationary Signal Decomposition
Feng Zhou, Antonio Cicone, Haomin Zhou
Time-frequency analysis is an important and challenging task in many applications. Fourier and wavelet analysis are two classic methods that have achieved remarkable success in man…
cs.LG2023★ 1 cited
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network
Feng Zhou, Antonio Cicone, Haomin Zhou
The decomposition of non-stationary signals is an important and challenging task in the field of signal time-frequency analysis. In the recent two decades, many signal decompositio…