30 citations · 41 across the 6 of their papers we have counts for
6 papers
Adversarial training with informed data selection
Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard +1
With the increasing amount of available data and advances in computing capabilities, deep neural networks (DNNs) have been successfully employed to solve challenging tasks in vario…
Do Proportionate Algorithms Exploit Sparsity?
Markus V. S. Lima, Gabriel S. Chaves, Tadeu N. Ferreira +1
Adaptive filters exploiting sparsity have been a very active research field, among which the algorithms that follow the "proportional-update principle", the so-called proportionate…
Intersymbol and Intercarrier Interference in OFDM Systems: Unified Formulation and Analysis
Fernando Cruz-Roldán, Wallace A. Martins, Fausto García G. +2
A new unified formulation for seven different orthogonal frequency-division multiplexing (OFDM) systems is presented. The proposed formulation relies on six parameters and encompas…
Intersymbol and Intercarrier Interference in OFDM Transmissions through Highly Dispersive Channels
Wallace Alves Martins, Fernando Cruz-Roldán, Marc Moonen +1
This work quantifies, for the first time, intersymbol and intercarrier interferences induced by very dispersive channels in OFDM systems. The resulting achievable data rate for \wa…
Set-Membership Adaptive Algorithms based on Time-Varying Error Bounds for Interference Suppression
Rodrigo C. de Lamare, Paulo S. R. Diniz
This work presents set-membership adaptive algorithms based on time-varying error bounds for CDMA interference suppression. We introduce a modified family of set-membership adaptiv…
Blind Adaptive Interference Suppression Based on Set-Membership Constrained Constant-Modulus Algorithms with Time-Varying Bounds
Rodrigo C. de Lamare, Paulo S. R. Diniz
This work presents blind constrained constant modulus (CCM) adaptive algorithms based on the set-membership filtering (SMF) concept and incorporates dynamic bounds {for interferenc…