A
Arnaldo Batista
Researcher at Nova Southeastern University
Publications - 38
Citations - 551
Arnaldo Batista is an academic researcher from Nova Southeastern University. The author has contributed to research in topics: Computer science & Sleep spindle. The author has an hindex of 7, co-authored 30 publications receiving 441 citations. Previous affiliations of Arnaldo Batista include University of Lisbon & Universidade Nova de Lisboa.
Papers
More filters
Journal ArticleDOI
On the HHT, its problems, and some solutions
TL;DR: In this paper, the empirical mode decomposition (EMD) is reviewed and some questions related to its effective performance are discussed, and solutions for its drawbacks are proposed, and numerical simulations are carried out to empirically evaluate the proposed modified EMD.
Journal ArticleDOI
On the relation between the fractional Brownian motion and the fractional derivatives
TL;DR: In this article, the authors considered the definition and simulation of fractional Brownian motion from the point of view of a set of coherent fractional derivative definitions and showed that the corresponding autocorrelation functions have the same representations.
Journal ArticleDOI
A Fractional Linear System View of the Fractional Brownian Motion
TL;DR: In this article, a definition of fractional Brownian motion based on fractional differintegrator characteristics is proposed and studied, and a discrete time version based in the backward difference and in the bilinear transformation is considered.
Journal ArticleDOI
A multichannel time-frequency and multi-wavelet toolbox for uterine electromyography processing and visualisation
Arnaldo Batista,Shirin Najdi,Daniela M. Godinho,Catarina Martins,Fátima Serrano,Manuel Duarte Ortigueira,Raul T. Rato +6 more
TL;DR: The presented toolbox has been tested to build up a dictionary of 288 EHG components, useful for research in preterm labour prediction, and the starting point is the multichannel scalogram or spectrogram representation from which frequency and time marginals, instantaneous frequency and bandwidth are obtained as EhG features.