activity
20152021
most citedCombinations of Adaptive Filters

151 citations · 168 across the 4 of their papers we have counts for

collaborators

6 papers

eess.AS2021★ 6 cited

Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction

Sergio Muñoz-Romero, Jerónimo Arenas García, Vanessa Gómez-Verdejo

Audio or visual data analysis tasks usually have to deal with high-dimensional and nonnegative signals. However, most data analysis methods suffer from overfitting and numerical pr…

cs.LG2021★ 11 cited

Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection

Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García

Multivariate Analysis (MVA) comprises a family of well-known methods for feature extraction which exploit correlations among input variables representing the data. One important pr…

eess.SY2021★ 151 cited

Combinations of Adaptive Filters

Jerónimo Arenas-García, Luis A. Azpicueta-Ruiz, Magno T. M. Silva +2

Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation, array beamforming, channel equalization, to mor…

cs.CL2018

Unveiling the semantic structure of text documents using paragraph-aware Topic Models

Simón Roca-Sotelo, Jerónimo Arenas-García

Classic Topic Models are built under the Bag Of Words assumption, in which word position is ignored for simplicity. Besides, symmetric priors are typically used in most application…

eess.SY2015

Censoring Diffusion for Harvesting WSNs

Jesus Fernandez-Bes, Rocío Arroyo-Valles, Jerónimo Arenas-García +1

In this paper, we analyze energy-harvesting adaptive diffusion networks for a distributed estimation problem. In order to wisely manage the available energy resources, we propose a…

eess.SY2015

Adaptive Diffusion Schemes for Heterogeneous Networks

Jesus Fernandez-Bes, Jerónimo Arenas-García, Magno T. M. Silva +1

In this paper, we deal with distributed estimation problems in diffusion networks with heterogeneous nodes, i.e., nodes that either implement different adaptive rules or differ in…