Vítor H. Nascimento

IEEE Trans. Signal Process., 2024

2023

Jammer Tracking Based on Efficient Covariance Matrix Reconstruction With Iterative Spatial Spectrum Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., December, 2023

Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region for Robust Adaptive Beamforming.

[BibT_eX]

[DOI]

Saeed Mohammadzadeh

Vítor Heloiz Nascimento

Osman Kukrer

IEEE Trans. Aerosp. Electron. Syst., August, 2023

Distributed Universal Adaptive Networks.

[BibT_eX]

[DOI]

Naomi J. Sutcliffe de Moraes

Vítor Heloiz Nascimento

Luiz F. O. Chamon

IEEE Trans. Signal Process., 2023

Study of Robust Adaptive Beamforming Algorithms Based on Power Method Processing and Spatial Spectrum Matching.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region.

[BibT_eX]

[DOI]

CoRR, 2023

A faster RLS-DCD adaptive filtering algorithm.

[BibT_eX]

[DOI]

Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Performance Analysis of Distributed Quantization Aware LMS Algorithm with Quantized Measurements.

[BibT_eX]

[DOI]

Vítor Heloiz Nascimento

Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Low-complexity and model-free parameter tracking algorithms.

[BibT_eX]

[DOI]

Daniel C. Vidal

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Robust Beamforming Based on Complex-Valued Convolutional Neural Networks for Sensor Arrays.

[BibT_eX]

[DOI]

Saeed Mohammadzadeh

Noushin Hajarolasvadi

IEEE Signal Process. Lett., 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Quantization-Aware Federated Learning with Coarsely Quantized Measurements.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

2021

On the Tracking Performance of Adaptive Filters and Their Combinations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Energy-Efficient Distributed Learning With Coarsely Quantized Signals.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Robust adaptive beamforming based on virtual sensors using low-complexity spatial sampling.

[BibT_eX]

[DOI]

Signal Process., 2021

Optimal Passive Source Localization for Acoustic Emissions.

[BibT_eX]

[DOI]

Carlos A. Prete Jr.

Entropy, 2021

Combinations of Adaptive Filters.

[BibT_eX]

[DOI]

Luis Antonio Azpicueta-Ruiz

CoRR, 2021

Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling.

[BibT_eX]

[DOI]

CoRR, 2021

Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals.

[BibT_eX]

[DOI]

CoRR, 2021

Robust Adaptive Beamforming Based on Low-Complexity Discrete Fourier Transform Spatial Sampling.

[BibT_eX]

[DOI]

IEEE Access, 2021

Low Complexity Distributed Estimation for IoT Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Exploring Undermodeling in Combinations of Adaptive Filters.

[BibT_eX]

[DOI]

Thiago Y. Aoyagi

Alexandre C. Ferreira

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020

Maximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming.

[BibT_eX]

[DOI]

Saeed Mohammadzadeh

CoRR, 2020

Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals.

[BibT_eX]

[DOI]

CoRR, 2020

A Low-Complexity Map Detector for Distributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low-Cost Adaptive Maximum Entropy Covariance Matrix Reconstruction for Robust Beamforming.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Compressive beamforming and directional sound reconstruction using the Kronecker array transform.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Adaptive Detection in Distributed Networks Using Maximum Likelihood Detector.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Modeling Time of Arrival Probability Distribution and TDOA Bias in Acoustic Emission Testing.

[BibT_eX]

[DOI]

Carlos A. Prete Junior

Proceedings of the 26th European Signal Processing Conference, 2018

Low-Complexity Approximation to the Kalman Filter Using the Dichotomous Coordinate Descent Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Revisiting the Kronecker Array Transform.

[BibT_eX]

[DOI]

Bruno S. Masiero

IEEE Signal Process. Lett., 2017

Low-Complexity DCD-Based Sparse Recovery Algorithms.

[BibT_eX]

[DOI]

Fernando Goncalves De Almeida Neto

IEEE Access, 2017

Low-complexity approximation to the Kalman filter using convex combinations of adaptive filters from different families.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

On the theoretical analysis of box-constrained adaptive filters.

[BibT_eX]

[DOI]

Leilson J. Araujo

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Combinations of Adaptive Filters: Performance and convergence properties.

[BibT_eX]

[DOI]

Luis Antonio Azpicueta-Ruiz

IEEE Signal Process. Mag., 2016

RLS Adaptive Filter With Inequality Constraints.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Acoustic image estimation using fast transforms.

[BibT_eX]

[DOI]

Mateus C. Silva

Bruno S. Masiero

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Sparse sliding-window RLS adaptive filter with dynamic regularization.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

A low-complexity RLS-DCD algorithm for volterra system identification.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Adaptive reweighting homotopy algorithms applied to beamforming.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2015

Distributed multichannel adaptive filtering.

[BibT_eX]

[DOI]

Amanda de Paula

Proceedings of the 23rd European Signal Processing Conference, 2015

Sparsity-aware distributed conjugate gradient algorithms for parameter estimation over sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Sliding-window RLS low-cost implementation of proportionate affine projection algorithms.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Towards spatially universal adaptive diffusion networks.

[BibT_eX]

[DOI]

Luiz F. O. Chamon

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Adaptive re-weighting homotopy for sparse beamforming.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

DCD-RLS Adaptive Filters With Penalties for Sparse Identification.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Two variable step-size adaptive algorithms for non-Gaussian interference environment using fractionally lower-order moment minimization.

[BibT_eX]

[DOI]

Yahong Rosa Zheng

Digit. Signal Process., 2013

Joint Model-Order and Step-Size Adaptation using Convex Combinations of Adaptive Reduced-Rank Filters

[BibT_eX]

[DOI]

CoRR, 2013

Homotopy RLS-DCD adaptive filter.

[BibT_eX]

[DOI]

Proceedings of the ISWCS 2013, 2013

A low-cost implementation strategy for combinations of adaptive filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Continuous-time distributed estimation with asymmetric mixing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Improving sparse echo cancellation via convex combination of two NLMS filters with different lengths.

[BibT_eX]

[DOI]

Álvaro Gonzalo-Ayuso

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Second-order analysis of the RC-WL-QLMS algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Symposium on Wireless Communication Systems (ISWCS), 2012

A low-complexity strategy for speeding up the convergence of convex combinations of adaptive filters.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Sparse RLS adaptive filter with diagonal loading.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Mean-square analysis of continuous-time distributed estimation strategies.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Session TA8a2: Signal processing and adaptive systems II.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Fast Transforms for Acoustic Imaging - Part II: Applications.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

Fast Transforms for Acoustic Imaging - Part I: Theory.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

Crowdsourcing subjective image quality evaluation.

[BibT_eX]

[DOI]

Dinei A. F. Florêncio

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Computationally efficient regularized acoustic imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

A fast transform for acoustic imaging with separable arrays.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Continuous-time distributed estimation.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Transient and steady-state analysis of the affine combination of two adaptive filters.

[BibT_eX]

[DOI]

Renato Candido

IEEE Trans. Signal Process., 2010

An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix.

[BibT_eX]

[DOI]

Manolis C. Tsakiris

IEEE Signal Process. Lett., 2010

Reduced-complexity widely linear adaptive estimation.

[BibT_eX]

[DOI]

Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

Joint model-order and step-size adaptation with convex combinations of reduced-rank adaptive filters.

[BibT_eX]

[DOI]

Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

A statistical analysis of the dual-mode CMA.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

A transient analysis for the convex combination of two adaptive filters with transfer of coefficients.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

On the tracking performance of combinations of least mean squares and recursive least squares adaptive filters.

[BibT_eX]

[DOI]

Luis Antonio Azpicueta-Ruiz

Proceedings of the IEEE International Conference on Acoustics, 2010

Knowledge-aided STAP algorithm using convex combination of inverse covariance matrices for heterogenous clutter.

[BibT_eX]

[DOI]

Rui Fa

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

On combinations of CMA equalizers.

[BibT_eX]

[DOI]

Renato Candido

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Improving the Tracking Capability of Adaptive Filters via Convex Combination.

[BibT_eX]

[DOI]

M. T. M. Silva

IEEE Trans. Signal Process., 2008

Stochastic Stability Analysis for the Constant-Modulus Algorithm.

[BibT_eX]

[DOI]

M. T. M. Silva

IEEE Trans. Signal Process., 2008

Avoiding Divergence in the Shalvi-Weinstein Algorithm.

[BibT_eX]

[DOI]

Maria D. Miranda

IEEE Trans. Signal Process., 2008

Tracking analysis of the constant modulus algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

A robust and computationally efficient method for tonal active noise control using a simplified secondary path model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Avoiding divergence in the constant modulus algorithm.

[BibT_eX]

[DOI]

Maria D. Miranda

M. T. M. Silva

Proceedings of the IEEE International Conference on Acoustics, 2008

Affine combinations of adaptive filters.

[BibT_eX]

[DOI]

Renato Candido

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

A Mean-Square Stability Analysis of the Least Mean Fourth Adaptive Algorithm.

[BibT_eX]

[DOI]

Pedro Inácio Hübscher

IEEE Trans. Signal Process., 2007

Convex Combination of Adaptive Filters with Different Tracking Capabilities.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Convex Combination of Blind Adaptive Equalizers with Different Tracking Capabilities.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Probability of divergence for the least-mean fourth algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Modeling Finite Precision Lms Behavior Using Markov Chains.

[BibT_eX]

[DOI]

Yasmín Montenegro M.

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

When is the least-mean fourth algorithm mean-square stable?

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

A simple model for the effect of normalization on the convergence rate of adaptive filters.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Analysis of the hierarchical LMS algorithm.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2003

New results on the stability analysis of the LMF (least mean fourth) adaptive algorithm.

[BibT_eX]

[DOI]

Pedro Inácio Hübscher

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

A Regularized Robust Design Criterion for Uncertain Data.

[BibT_eX]

[DOI]

Flávio A. M. Cipparrone

SIAM J. Matrix Anal. Appl., 2002

Improving the initial convergence of adaptive filters: variable-length LMS algorithms.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

2000

On the learning mechanism of adaptive filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2000

1999

Unbiased and stable leakage-based adaptive filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1999

1998

Design criteria for uncertain models with structured and unstructured uncertainties.

[BibT_eX]

[DOI]