Training Data Selection and Dimensionality Reduction for Volterra-Based and ANN Adaptive DPD

This talk discusses training data selection methods and dimensionality reduction techniques that can be combined to enable relevant reductions of the DPD training time and the implementation complexity when considering either Volterra-based behavioral models or artificial neural networks.