Design criteria for uncertain models with structured and unstructured uncertainties. - Ali H. Sayed; Vítor H. Nascimento (Robustness in Identification and Control, 1998)

Unbiased and stable leakage-based adaptive filters. - Vítor H. Nascimento; Ali H. Sayed (IEEE Trans. Signal Process., 1999)

On the learning mechanism of adaptive filters. - Vítor H. Nascimento; Ali H. Sayed (IEEE Trans. Signal Process., 2000)

Improving the initial convergence of adaptive filters: variable-length LMS algorithms. - Vítor H. Nascimento (DSP, 2002)

A Regularized Robust Design Criterion for Uncertain Data. - Ali H. Sayed; Vítor H. Nascimento; Flávio A. M. Cipparrone (SIAM J. Matrix Anal. Appl., 2002)

New results on the stability analysis of the LMF (least mean fourth) adaptive algorithm. - Pedro Inácio Hübscher; Vítor H. Nascimento; José Carlos M. Bermudez (ICASSP (6), 2003)

Analysis of the hierarchical LMS algorithm. - Vítor H. Nascimento (IEEE Signal Process. Lett., 2003)

A simple model for the effect of normalization on the convergence rate of adaptive filters. - Vítor H. Nascimento (ICASSP (2), 2004)

When is the least-mean fourth algorithm mean-square stable? - Vítor H. Nascimento; José Carlos M. Bermudez (ICASSP (4), 2005)

Modeling Finite Precision Lms Behavior Using Markov Chains. - Yasmín Montenegro M.; José Carlos M. Bermudez; Vítor H. Nascimento (ICASSP (3), 2006)

Probability of divergence for the least-mean fourth algorithm. - Victor H. Nascimento; José Carlos M. Bermudez (IEEE Trans. Signal Process., 2006)

Convex Combination of Blind Adaptive Equalizers with Different Tracking Capabilities. - Magno T. M. Silva; Vítor H. Nascimento (ICASSP (3), 2007)

Convex Combination of Adaptive Filters with Different Tracking Capabilities. - Magno T. M. Silva; Vítor H. Nascimento (ICASSP (3), 2007)

A Mean-Square Stability Analysis of the Least Mean Fourth Adaptive Algorithm. - Pedro Inácio Hübscher; José Carlos M. Bermudez; Victor H. Nascimento (IEEE Trans. Signal Process., 2007)

Affine combinations of adaptive filters. - Renato Candido; Magno T. M. Silva; Vítor H. Nascimento (ACSCC, 2008)

Avoiding divergence in the constant modulus algorithm. - Maria D. Miranda; M. T. M. Silva; Vítor H. Nascimento (ICASSP, 2008)

A robust and computationally efficient method for tonal active noise control using a simplified secondary path model. - Flavio P. Ribeiro; Vítor H. Nascimento (ICASSP, 2008)

Tracking analysis of the constant modulus algorithm. - Magno T. M. Silva; Vítor H. Nascimento (ICASSP, 2008)

Avoiding Divergence in the Shalvi-Weinstein Algorithm. - Maria D. Miranda; Magno T. M. Silva; Victor H. Nascimento (IEEE Trans. Signal Process., 2008)

Stochastic Stability Analysis for the Constant-Modulus Algorithm. - Victor H. Nascimento; M. T. M. Silva (IEEE Trans. Signal Process., 2008)

Improving the Tracking Capability of Adaptive Filters via Convex Combination. - M. T. M. Silva; Victor H. Nascimento (IEEE Trans. Signal Process., 2008)

On combinations of CMA equalizers. - Renato Candido; Magno T. M. Silva; Vítor H. Nascimento (ICASSP, 2009)

Knowledge-aided STAP algorithm using convex combination of inverse covariance matrices for heterogenous clutter. - Rui Fa; Rodrigo C. de Lamare; Vítor H. Nascimento (ICASSP, 2010)

On the tracking performance of combinations of least mean squares and recursive least squares adaptive filters. - Vítor H. Nascimento; Magno T. M. Silva; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García (ICASSP, 2010)

A transient analysis for the convex combination of two adaptive filters with transfer of coefficients. - Magno T. M. Silva; Vítor H. Nascimento; Jerónimo Arenas-García (ICASSP, 2010)

A statistical analysis of the dual-mode CMA. - Renato Candido; Magno T. M. Silva; Maria D. Miranda; Vítor H. Nascimento (ISCAS, 2010)

Joint model-order and step-size adaptation with convex combinations of reduced-rank adaptive filters. - Rodrigo C. de Lamare; Vítor H. Nascimento (ISWCS, 2010)

Reduced-complexity widely linear adaptive estimation. - Fernando G. Almeida Neto; Vítor H. Nascimento; Magno T. M. Silva (ISWCS, 2010)

An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix. - Manolis C. Tsakiris; Cássio Guimarães Lopes; Vítor H. Nascimento (IEEE Signal Process. Lett., 2010)

Transient and steady-state analysis of the affine combination of two adaptive filters. - Renato Candido; Magno T. M. Silva; Vítor H. Nascimento (IEEE Trans. Signal Process., 2010)

Continuous-time distributed estimation. - Vítor H. Nascimento; Ali H. Sayed (ACSCC, 2011)

A fast transform for acoustic imaging with separable arrays. - Flavio P. Ribeiro; Vítor H. Nascimento (ICASSP, 2011)

Computationally efficient regularized acoustic imaging. - Flavio P. Ribeiro; Vítor H. Nascimento (ICASSP, 2011)

Crowdsourcing subjective image quality evaluation. - Flavio P. Ribeiro; Dinei A. F. Florêncio; Vítor H. Nascimento (ICIP, 2011)

Fast Transforms for Acoustic Imaging - Part I: Theory. - Flavio P. Ribeiro; Vítor H. Nascimento (IEEE Trans. Image Process., 2011)

Fast Transforms for Acoustic Imaging - Part II: Applications. - Flavio P. Ribeiro; Vítor H. Nascimento (IEEE Trans. Image Process., 2011)

Session TA8a2: Signal processing and adaptive systems II. - Vítor H. Nascimento (ACSCC, 2012)

Mean-square analysis of continuous-time distributed estimation strategies. - Vítor H. Nascimento; Ali H. Sayed (ACSCC, 2012)

Sparse RLS adaptive filter with diagonal loading. - Yuriy V. Zakharov; Vítor H. Nascimento (ACSCC, 2012)

Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery. - Yuriy V. Zakharov; Vítor H. Nascimento (ACSCC, 2012)

A low-complexity strategy for speeding up the convergence of convex combinations of adaptive filters. - Vítor H. Nascimento; Rodrigo C. de Lamare (ICASSP, 2012)

Second-order analysis of the RC-WL-QLMS algorithm. - Fernando G. Almeida Neto; Vítor H. Nascimento (ISWCS, 2012)

Improving sparse echo cancellation via convex combination of two NLMS filters with different lengths. - Álvaro Gonzalo-Ayuso; Magno T. M. Silva; Vítor H. Nascimento; Jerónimo Arenas-García (MLSP, 2012)

Continuous-time distributed estimation with asymmetric mixing. - Vítor H. Nascimento; Ali H. Sayed (SSP, 2012)

A low-cost implementation strategy for combinations of adaptive filters. - Vítor H. Nascimento; Magno T. M. Silva; Jerónimo Arenas-García (ICASSP, 2013)

Homotopy RLS-DCD adaptive filter. - Yuriy V. Zakharov; Vítor H. Nascimento (ISWCS, 2013)

Joint Model-Order and Step-Size Adaptation using Convex Combinations of Adaptive Reduced-Rank Filters - Rodrigo C. de Lamare; Vítor H. Nascimento (CoRR, 2013)

Two variable step-size adaptive algorithms for non-Gaussian interference environment using fractionally lower-order moment minimization. - Yahong Rosa Zheng; Vítor H. Nascimento (Digit. Signal Process., 2013)

DCD-RLS Adaptive Filters With Penalties for Sparse Identification. - Yuriy V. Zakharov; Vítor H. Nascimento (IEEE Trans. Signal Process., 2013)

Adaptive re-weighting homotopy for sparse beamforming. - Fernando G. Almeida Neto; Vítor H. Nascimento; Yuriy V. Zakharov; Rodrigo C. de Lamare (EUSIPCO, 2014)

Towards spatially universal adaptive diffusion networks. - Cássio Guimarães Lopes; Luiz F. O. Chamon; Vítor H. Nascimento (GlobalSIP, 2014)

Sliding-window RLS low-cost implementation of proportionate affine projection algorithms. - Yuriy V. Zakharov; Vítor H. Nascimento (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Sparsity-aware distributed conjugate gradient algorithms for parameter estimation over sensor networks. - Tamara Guerra Miller; Songcen Xu; Rodrigo C. de Lamare; Vítor H. Nascimento; Yuriy V. Zakharov (ACSSC, 2015)

Distributed multichannel adaptive filtering. - Fernando G. Almeida Neto; Vítor H. Nascimento; Amanda de Paula (EUSIPCO, 2015)

Adaptive reweighting homotopy algorithms applied to beamforming. - Fernando G. Almeida Neto; Rodrigo C. de Lamare; Vítor H. Nascimento; Yuriy V. Zakharov (IEEE Trans. Aerosp. Electron. Syst., 2015)

A low-complexity RLS-DCD algorithm for volterra system identification. - Raffaello Claser; Vítor H. Nascimento; Yuriy V. Zakharov (EUSIPCO, 2016)

Sparse sliding-window RLS adaptive filter with dynamic regularization. - Yuriy V. Zakharov; Vítor H. Nascimento (EUSIPCO, 2016)

Acoustic image estimation using fast transforms. - Vítor H. Nascimento; Mateus C. Silva; Bruno S. Masiero (SAM, 2016)

RLS Adaptive Filter With Inequality Constraints. - Vítor H. Nascimento; Yuriy V. Zakharov (IEEE Signal Process. Lett., 2016)

Combinations of Adaptive Filters: Performance and convergence properties. - Jerónimo Arenas-García; Luis Antonio Azpicueta-Ruiz; Magno T. M. Silva; Vítor H. Nascimento; Ali H. Sayed (IEEE Signal Process. Mag., 2016)

On the theoretical analysis of box-constrained adaptive filters. - Leilson J. Araujo; Vítor H. Nascimento; Yuriy V. Zakharov (ACSSC, 2017)

Low-complexity approximation to the Kalman filter using convex combinations of adaptive filters from different families. - Raffaello Claser; Vítor H. Nascimento (EUSIPCO, 2017)

Low-Complexity DCD-Based Sparse Recovery Algorithms. - Yuriy V. Zakharov; Vítor H. Nascimento; Rodrigo C. de Lamare; Fernando Goncalves De Almeida Neto (IEEE Access, 2017)

Revisiting the Kronecker Array Transform. - Bruno S. Masiero; Vítor H. Nascimento (IEEE Signal Process. Lett., 2017)

Low-Complexity Approximation to the Kalman Filter Using the Dichotomous Coordinate Descent Algorithm. - Raffaello Claser; Vítor H. Nascimento; Yuriy V. Zakharov (ACSSC, 2018)

Modeling Time of Arrival Probability Distribution and TDOA Bias in Acoustic Emission Testing. - Carlos A. Prete Junior; Vítor H. Nascimento; Cássio Guimarães Lopes (EUSIPCO, 2018)

Adaptive Detection in Distributed Networks Using Maximum Likelihood Detector. - Allan E. Feitosa; Vítor H. Nascimento; Cássio Guimarães Lopes (IEEE Signal Process. Lett., 2018)

Compressive beamforming and directional sound reconstruction using the Kronecker array transform. - Marcelo A. Daher; Carlos A. Prete Jr.; Vítor H. Nascimento; Bruno S. Masiero (ACSSC, 2019)

Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (ACSSC, 2020)

Low-Cost Adaptive Maximum Entropy Covariance Matrix Reconstruction for Robust Beamforming. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (ACSSC, 2020)

A Low-Complexity Map Detector for Distributed Networks. - Allan E. Feitosa; Vítor H. Nascimento; Cássio Guimarães Lopes (ICASSP, 2020)

Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Victor H. Nascimento (CoRR, 2020)

Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare (CoRR, 2020)

Maximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (IEEE Signal Process. Lett., 2020)

Exploring Undermodeling in Combinations of Adaptive Filters. - Thiago Y. Aoyagi; Alexandre C. Ferreira; Cássio Guimarães Lopes; Vítor H. Nascimento (SSP, 2021)

Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (SSP, 2021)

Low Complexity Distributed Estimation for IoT Sensor Networks. - Allan E. Feitosa; Vítor H. Nascimento; Cássio Guimarães Lopes (SSP, 2021)

Robust Adaptive Beamforming Based on Low-Complexity Discrete Fourier Transform Spatial Sampling. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (IEEE Access, 2021)

Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (CoRR, 2021)

Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (CoRR, 2021)

Combinations of Adaptive Filters. - Jerónimo Arenas-García; Luis Antonio Azpicueta-Ruiz; Magno T. M. Silva; Vítor H. Nascimento; Ali H. Sayed (CoRR, 2021)

Optimal Passive Source Localization for Acoustic Emissions. - Carlos A. Prete Jr.; Vítor H. Nascimento; Cássio Guimarães Lopes (Entropy, 2021)

Robust adaptive beamforming based on virtual sensors using low-complexity spatial sampling. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (Signal Process., 2021)

Energy-Efficient Distributed Learning With Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (IEEE Signal Process. Lett., 2021)

On the Tracking Performance of Adaptive Filters and Their Combinations. - Raffaello Claser; Vítor H. Nascimento (IEEE Trans. Signal Process., 2021)

Quantization-Aware Federated Learning with Coarsely Quantized Measurements. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (EUSIPCO, 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, 2022)

Robust Beamforming Based on Complex-Valued Convolutional Neural Networks for Sensor Arrays. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Noushin Hajarolasvadi (IEEE Signal Process. Lett., 2022)

Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (IEEE Trans. Signal Process., 2022)

Low-complexity and model-free parameter tracking algorithms. - Daniel C. Vidal; Vítor H. Nascimento (ACSSC, 2023)

Performance Analysis of Distributed Quantization Aware LMS Algorithm with Quantized Measurements. - Alireza Danaee; Rodrigo C. de Lamare; Vítor Heloiz Nascimento (ISWCS, 2023)

A faster RLS-DCD adaptive filtering algorithm. - Naomi J. Sutcliffe de Moraes; Vítor H. Nascimento; Daniel C. Vidal; Carlos A. Prete Jr.; Yuriy V. Zakharov (ISWCS, 2023)

Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (CoRR, 2023)

Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling. - Saeed Mohammadzadeh; Victor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (CoRR, 2023)

Study of Robust Adaptive Beamforming Algorithms Based on Power Method Processing and Spatial Spectrum Matching. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (CoRR, 2023)

Distributed Universal Adaptive Networks. - Cássio Guimarães Lopes; Vítor Heloiz Nascimento; Luiz F. O. Chamon (IEEE Trans. Signal Process., 2023)

Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region for Robust Adaptive Beamforming. - Saeed Mohammadzadeh; Vítor Heloiz Nascimento; Rodrigo C. de Lamare; Osman Kukrer (IEEE Trans. Aerosp. Electron. Syst., 2023)

Jammer Tracking Based on Efficient Covariance Matrix Reconstruction With Iterative Spatial Spectrum Sampling. - Saeed Mohammadzadeh; Vítor H. Nascimento; Rodrigo C. de Lamare; Osman Kukrer (IEEE Trans. Aerosp. Electron. Syst., 2023)

Favor the Tortoise Over the Hare: An Efficient Detection Algorithm for Cooperative Networks. - Allan E. Feitosa; Vítor H. Nascimento; Cássio Guimarães Lopes (IEEE Trans. Signal Process., 2024)