Machine Learning

Power Amplifier Modeling Comparison for Highly and Sparse Nonlinear Behavior Based on Regression Tree, Random Forest, and CNN for Wideband Systems
J. A. Galaviz-Aguilar, C. Vargas-Rosales, D. S. Aguila-Torres, J. R. Cardenas-Valdez
DOI
A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data
Jose Alejandro Galaviz-Aguilar, Cesar Vargas-Rosales, Jose Ricardo Cardenas-Valdez, Daniel Santiago Aguila-Torres, Leonardo Flores-Hernandez
DOI
Spectral Optimization and DPD for 5G Massive MIMO Systems
Developed spectral modeling and digital predistortion algorithms for multi-antenna 5G systems, optimizing linearity and spectral efficiency under CONACyT research grant.
Sensors 2022 Paper ISCAS 2022 Paper CRC Press Book Chapter
Reliable comparison for power amplifiers nonlinear behavioral modeling based on regression trees and random forest
Daniel Santiago Aguila-Torres, Jose Alejandro Galaviz-Aguilar, Jose Ricardo Cardenas-Valdez
DOI
SVM Classifier and evaluation of muscle power of EMG signals and Python implementation
Jose Ricardo Cardenas-Valdez, Daniela Valdez-Luis, Manuel de Jesus Garcia-Ortega, Angel Humberto Corral-Dominguez, Jose Alejandro Galaviz-Aguilar
DOI
Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation
Jose Alejandro Galaviz-Aguilar, Patrick Roblin, Jose Ricardo Cardenas-Valdez, Emigdio Z-Flores, Leonardo Trujillo, Jose Cruz Nunez-Perez, Oliver Schutze
DOI