Code released for Fixed Boundary points based Empirical Wavelet Transform
If you want to use these codes, the following papers need to be cited in the reference part
[1] Panda, R., Jain, S., Tripathy, R. K., & Acharya, U. R. (2020). Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. Computers in Biology and Medicine, 124, 103939.
[2] Tripathy, R. K., Ghosh, S. K., Gajbhiye, P., & Acharya, U. R. (2020). Development of automated sleep stage classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy features extracted from multichannel EEG signals. Entropy, 22(10), 1141.
[3] Gilles, Jerome. "Empirical wavelet transform." IEEE transactions on signal processing 61, no. 16 (2013): 3999-4010.