Deep Learning based noise identification in the Optical fiber communication using Variational Mode Decomposition

We have extracted the classified information of the different types of noises which arise during data transmission by using variational mode decomposition (VMD) and Wavelet Transform in this paper. We only utilized one intrinsic mode function (IMF) data analysis after VMD. After doing the VMD, we used the deep neural network (’googlenet’). The suggested technique outperforms and can be a contender for automatic noise detection in a fiber communication link.