IEEE

Tutorial on Empirical Mode Decomposition: Basis Decomposition and Frequency Adaptive Graduation in Non-Stationary Time Series

Abstract: This tutorial explores the class of non-parametric time series basis decomposition methods particularly suited for nonstationary time series known as Empirical Mode Decomposition (EMD). In ...
IEEE

GPU-based empirical evaluation of activation functions in convolutional neural networks

Abstract: Activation functions are important components of Convolutional Neural Networks (CNN) that introduces nonlinearity in the model to compute complex functions. There are different types of ...