Vítor H. Nascimento — accepted AI-conference papers

2022

Robust Adaptive Beamforming Based on Power Method Processing and Spatial Spectrum Matching

Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer

ICASSP 2022accepted

Robust adaptive beamforming (RAB) based on interference-plus-noise covariance (INC) matrix reconstruction can experience performance degradation when model mismatch errors exist, particularly when the input signal-to-noise ratio (SNR) is large. In this work, we devise an efficient RAB technique for…

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2020

A Low-Complexity Map Detector for Distributed Networks

Allan E. Feitosa, Vítor H. Nascimento, Cássio Guimarães Lopes

ICASSP 2020accepted

This work describes a generalization of our previous maximum likelihood (ML) detector to a maximum a posteriori (MAP) detector in distributed networks using the diffusion LMS algorithm. Nodes in the network must decide between two concurrent hypotheses concerning their environment, using local measu…

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