4 papers
Reducción de ruido por medio de autoencoders: caso de estudio con la señal GW150914
Fernanda Zapata Bascuñán, Darío Fernando Mendieta
This brief study focuses on the application of autoencoders to improve the quality of low-amplitude signals, such as gravitational events. A pre-existing autoencoder was trained us…
smallNet: Implementation of a convolutional layer in tiny FPGAs
Fernanda Zapata Bascuñán, Alan Ezequiel Fuster
Since current neural network development systems in Xilinx and VLSI require codevelopment with Python libraries, the first stage of a convolutional network has been implemented by…
On the Shape of Latent Variables in a Denoising VAE-MoG: A Posterior Sampling-Based Study
Fernanda Zapata Bascuñán
In this work, we explore the latent space of a denoising variational autoencoder with a mixture-of-Gaussians prior (VAE-MoG), trained on gravitational wave data from event GW150914…
Developing signal processing skills: A proposal for the teaching of filters
Fernanda Zapata Bascuñán, Daniel Colón, Marcelo Aráoz
In accordance with Bloom's taxonomy, a four-level evaluation abstraction was generated with the objective of structuring and hierarchizing curricula knowledge, allowing students to…