Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection
This work proposes a low-complexity Feature Selection NN DPD architecture that employs an offline feature-engineering pipeline based on the Least Absolute Shrinkage and Selection Operator and the Minimum Redundancy Maximum Relevance algorithm to construct a compact and informative input representation.