most citedENN: A Neural Network with DCT Adaptive Activation Functions

12 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023★ 1 cited

Adaptive function approximation based on the Discrete Cosine Transform (DCT)

Ana I. Pérez-Neira, Marc Martinez-Gost, Miguel Ángel Lagunas

This paper studies the cosine as basis function for the approximation of univariate and continuous functions without memory. This work studies a supervised learning to obtain the a…

eess.SP2023

Polarization-Based Security: Safeguarding Wireless Communications at the Physical Layer

Pol Henarejos, Ana I. Pérez-Neira

Physical layer security is a field of study that continues to gain importance over time. It encompasses a range of algorithms applicable to various aspects of communication systems…

eess.SP2023★ 12 cited

ENN: A Neural Network with DCT Adaptive Activation Functions

Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas

The expressiveness of neural networks highly depends on the nature of the activation function, although these are usually assumed predefined and fixed during the training stage. Un…

eess.SP2023★ 7 cited

LoRa-based Over-the-Air Computing for Sat-IoT

Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas

Satellite Internet of Things (Sat-IoT) is a novel framework in which satellites integrate sensing, communication and computing capabilities to carry out task-oriented communication…

eess.SP2023★ 2 cited

Frequency Modulation Aggregation for Federated Learning

Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas

Federated edge learning (FEEL) is a framework for training models in a distributed fashion using edge devices and a server that coordinates the learning process. In FEEL, edge devi…