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A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data., , , , and . Sensors, 22 (19): 7461 (2022)Implementing a Chaotic Cryptosystem by Performing Parallel Computing on Embedded Systems with Multiprocessors., , , , , , , and . Entropy, 21 (3): 268 (2019)Coefficient extraction for MPM using LSE, ORLS and SLS applied to RF-PA modeling., , , and . ISCAS, page 1-4. IEEE, (2017)Reliable comparison for power amplifiers nonlinear behavioral modeling based on regression trees and random forest., , and . ISCAS, page 1527-1530. IEEE, (2022)Modeling memory effects in RF power amplifiers applied to a digital pre-distortion algorithm and emulated on a DSP-FPGA board., , , , , , and . Integr., (2015)Real-time medical image encryption for H-IoT applications using improved sequences from chaotic maps., , , , , , , and . Integr., (May 2023)Sistema de clasificación SVM de señales electromiográficas extraídas en un sistema embebido., , , , and . Res. Comput. Sci., 148 (2): 135-141 (2019)Measure-based modeling and FPGA implementation of RF Power Amplifier using a multi-layer perceptron neural network., , , , , and . CONIELECOMP, page 237-242. IEEE, (2014)Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA., , , and . NEO, volume 663 of Studies in Computational Intelligence, page 67-88. Springer, (2015)FPGA-based test bed for measurement of AM/AM and AM/PM distortion and modeling memory effects in RF PAs., , , , , , and . Integr., (2016)