151 citations · 161 across the 8 of their papers we have counts for
8 papers
Distributed Universal Adaptive Networks
Cassio G. Lopes, Vítor H. Nascimento, Luiz F. O. Chamon
Adaptive networks (ANs) are effective real time techniques to process and track events observed by sensor networks and, more recently, to equip Internet of Things (IoT) application…
Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region
S. Mohammadzadeh, V. H. Nascimento, R. C. de Lamare +1
In this work, a simple and effective robust adaptive beamforming technique is proposed for uniform linear arrays, which is based on the power spectral estimation and uncertainty re…
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…
Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
Saeed Mohammadzadeh, Vitor H. Nascimento, Rodrigo C. de Lamare +1
In this paper, a novel and robust algorithm is proposed for adaptive beamforming based on the idea of reconstructing the autocorrelation sequence (ACS) of a random process from a s…
Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming
S. Mohammadzadeh, V. H. Nascimento, R. C. de Lamare
In this letter, we present a novel low-complexity adaptive beamforming technique using a stochastic gradient algorithm to avoid matrix inversions. The proposed method exploits algo…
Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals
A. Danaee, R. C. de Lamare, V. H. Nascimento
In this work, we present an energy-efficient distributed learning framework using coarsely quantized signals for Internet of Things (IoT) networks. In particular, we develop a dist…
Low-Complexity Quaternion Adaptive Filters
Fernando G. Almeida Neto, Vítor H. Nascimento
A general representation of the quaternion gradients presented in the literature is proposed, and an universal update equation for QLMS-like algorithms is obtained. The general upd…
Joint Model-Order and Step-Size Adaptation using Convex Combinations of Adaptive Reduced-Rank Filters
Rodrigo C. de Lamare, Vitor H. Nascimento
In this work we propose schemes for joint model-order and step-size adaptation of reduced-rank adaptive filters. The proposed schemes employ reduced-rank adaptive filters in parall…