11 citations · 24 across the 6 of their papers we have counts for
6 papers
Classification of Astronomical Spectra Using PCA-Compressed Flux and Inverse-Variance Features
Bruno Santos Meneses Barreto, Marcio Eisencraft
This paper evaluates a signal-processing and supervised-learning pipeline for classifying SDSS DR17 astronomical spectra into stars, galaxies, and quasars. Each spectrum is represe…
Multi-Variable Stellar Parameter Estimation Using Residual Multitask Neural Networks
Bruno Santos Meneses Barreto, Marcio Eisencraft
We present an end-to-end pipeline for estimating stellar parameters from Sloan Digital Sky Survey Data Release 12 spectra using a fully connected multitask neural network with resi…
Chaotic properties of an FIR filtered Hénon map
Vinícius S. Borges, Magno T. M. Silva, Marcio Eisencraft
When chaotic signals are used in practical communication systems, it is essential to control and eventually limit the spectral bandwidth occupied by these signals. One way to achie…
The quadratic map and its temporal and spectral properties
Rafael A. Costa, Marcio Eisencraft
This work numerically examines the temporal and spectral properties of a quadratic map. The quadratic map described in this study has quadratic non-linearity, and its theoretical a…
Denoising of discrete-time chaotic signals using echo state networks
André L. O. Duarte, Marcio Eisencraft
Noise reduction is a relevant topic when considering the application of chaotic signals in practical problems, such as communication systems or modeling biomedical signals. In this…
A filtered Hénon map
Vinícius S. Borges, Marcio Eisencraft
In this paper, we use Lyapunov exponents to analyze how the dynamical properties of the Hénon map change as a function of the coefficients of a linear filter inserted in its feedba…