Vítor H. Nascimento

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 41

Top Topics

Covariance Matrix

Maximum Entropy

Adaptive Filter

Distributed Learning

Top Venues

IEEE Signal Process. Lett.

Publications

Allan E. Feitosa, Vítor H. Nascimento, Cássio Guimarães Lopes
Favor the Tortoise Over the Hare: An Efficient Detection Algorithm for Cooperative Networks. IEEE Trans. Signal Process. 72 (2024)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Jammer Tracking Based on Efficient Covariance Matrix Reconstruction With Iterative Spatial Spectrum Sampling. IEEE Trans. Aerosp. Electron. Syst. 59 (6) (2023)
Daniel C. Vidal, Vítor H. Nascimento
Low-complexity and model-free parameter tracking algorithms. ACSSC (2023)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region. CoRR (2023)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Study of Robust Adaptive Beamforming Algorithms Based on Power Method Processing and Spatial Spectrum Matching. CoRR (2023)
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals. IEEE Trans. Signal Process. 70 (2022)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Robust Adaptive Beamforming Based on Power Method Processing and Spatial Spectrum Matching. ICASSP (2022)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Noushin Hajarolasvadi
Robust Beamforming Based on Complex-Valued Convolutional Neural Networks for Sensor Arrays. IEEE Signal Process. Lett. 29 (2022)
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
Quantization-Aware Federated Learning with Coarsely Quantized Measurements. EUSIPCO (2022)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Robust Adaptive Beamforming Based on Low-Complexity Discrete Fourier Transform Spatial Sampling. IEEE Access 9 (2021)
Carlos A. Prete Jr., Vítor H. Nascimento, Cássio Guimarães Lopes
Optimal Passive Source Localization for Acoustic Emissions. Entropy 23 (12) (2021)
Thiago Y. Aoyagi, Alexandre C. Ferreira, Cássio Guimarães Lopes, Vítor H. Nascimento
Exploring Undermodeling in Combinations of Adaptive Filters. SSP (2021)
Raffaello Claser, Vítor H. Nascimento
On the Tracking Performance of Adaptive Filters and Their Combinations. IEEE Trans. Signal Process. 69 (2021)
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
Energy-Efficient Distributed Learning With Coarsely Quantized Signals. IEEE Signal Process. Lett. 28 (2021)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Robust adaptive beamforming based on virtual sensors using low-complexity spatial sampling. Signal Process. 188 (2021)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling. CoRR (2021)
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals. SSP (2021)
Allan E. Feitosa, Vítor H. Nascimento, Cássio Guimarães Lopes
Low Complexity Distributed Estimation for IoT Sensor Networks. SSP (2021)
Jerónimo Arenas-García, Luis Antonio Azpicueta-Ruiz, Magno T. M. Silva, Vítor H. Nascimento, Ali H. Sayed
Combinations of Adaptive Filters. CoRR (2021)
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals. CoRR (2021)
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals. ACSSC (2020)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Maximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming. IEEE Signal Process. Lett. 27 (2020)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare
Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming. CoRR (2020)
Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Low-Cost Adaptive Maximum Entropy Covariance Matrix Reconstruction for Robust Beamforming. ACSSC (2020)
Allan E. Feitosa, Vítor H. Nascimento, Cássio Guimarães Lopes
A Low-Complexity Map Detector for Distributed Networks. ICASSP (2020)
Marcelo A. Daher, Carlos A. Prete Jr., Vítor H. Nascimento, Bruno S. Masiero
Compressive beamforming and directional sound reconstruction using the Kronecker array transform. ACSSC (2019)
Carlos A. Prete Junior, Vítor H. Nascimento, Cássio Guimarães Lopes
Modeling Time of Arrival Probability Distribution and TDOA Bias in Acoustic Emission Testing. EUSIPCO (2018)
Raffaello Claser, Vítor H. Nascimento, Yuriy V. Zakharov
Low-Complexity Approximation to the Kalman Filter Using the Dichotomous Coordinate Descent Algorithm. ACSSC (2018)
Allan E. Feitosa, Vítor H. Nascimento, Cássio Guimarães Lopes
Adaptive Detection in Distributed Networks Using Maximum Likelihood Detector. IEEE Signal Process. Lett. 25 (7) (2018)
Leilson J. Araujo, Vítor H. Nascimento, Yuriy V. Zakharov
On the theoretical analysis of box-constrained adaptive filters. ACSSC (2017)
Bruno S. Masiero, Vítor H. Nascimento
Revisiting the Kronecker Array Transform. IEEE Signal Process. Lett. 24 (5) (2017)
Yuriy V. Zakharov, Vítor H. Nascimento, Rodrigo C. de Lamare, Fernando Goncalves De Almeida Neto
Low-Complexity DCD-Based Sparse Recovery Algorithms. IEEE Access 5 (2017)
Raffaello Claser, Vítor H. Nascimento
Low-complexity approximation to the Kalman filter using convex combinations of adaptive filters from different families. EUSIPCO (2017)
Vítor H. Nascimento, Mateus C. Silva, Bruno S. Masiero
Acoustic image estimation using fast transforms. SAM (2016)
Vítor H. Nascimento, Yuriy V. Zakharov
RLS Adaptive Filter With Inequality Constraints. IEEE Signal Process. Lett. 23 (5) (2016)
Yuriy V. Zakharov, Vítor H. Nascimento
Sparse sliding-window RLS adaptive filter with dynamic regularization. EUSIPCO (2016)
Raffaello Claser, Vítor H. Nascimento, Yuriy V. Zakharov
A low-complexity RLS-DCD algorithm for volterra system identification. EUSIPCO (2016)
Jerónimo Arenas-García, Luis Antonio Azpicueta-Ruiz, Magno T. M. Silva, Vítor H. Nascimento, Ali H. Sayed
Combinations of Adaptive Filters: Performance and convergence properties. IEEE Signal Process. Mag. 33 (1) (2016)
Fernando G. Almeida Neto, Vítor H. Nascimento, Amanda de Paula
Distributed multichannel adaptive filtering. EUSIPCO (2015)
Tamara Guerra Miller, Songcen Xu, Rodrigo C. de Lamare, Vítor H. Nascimento, Yuriy V. Zakharov
Sparsity-aware distributed conjugate gradient algorithms for parameter estimation over sensor networks. ACSSC (2015)
Fernando G. Almeida Neto, Rodrigo C. de Lamare, Vítor H. Nascimento, Yuriy V. Zakharov
Adaptive reweighting homotopy algorithms applied to beamforming. IEEE Trans. Aerosp. Electron. Syst. 51 (3) (2015)
Fernando G. Almeida Neto, Vítor H. Nascimento, Yuriy V. Zakharov, Rodrigo C. de Lamare
Adaptive re-weighting homotopy for sparse beamforming. EUSIPCO (2014)
Cássio Guimarães Lopes, Luiz F. O. Chamon, Vítor H. Nascimento
Towards spatially universal adaptive diffusion networks. GlobalSIP (2014)
Yuriy V. Zakharov, Vítor H. Nascimento
Sliding-window RLS low-cost implementation of proportionate affine projection algorithms. IEEE ACM Trans. Audio Speech Lang. Process. 22 (12) (2014)
Yuriy V. Zakharov, Vítor H. Nascimento
Homotopy RLS-DCD adaptive filter. ISWCS (2013)
Yahong Rosa Zheng, Vítor H. Nascimento
Two variable step-size adaptive algorithms for non-Gaussian interference environment using fractionally lower-order moment minimization. Digit. Signal Process. 23 (3) (2013)
Vítor H. Nascimento, Magno T. M. Silva, Jerónimo Arenas-García
A low-cost implementation strategy for combinations of adaptive filters. ICASSP (2013)
Yuriy V. Zakharov, Vítor H. Nascimento
DCD-RLS Adaptive Filters With Penalties for Sparse Identification. IEEE Trans. Signal Process. 61 (12) (2013)
Rodrigo C. de Lamare, Vítor H. Nascimento
Joint Model-Order and Step-Size Adaptation using Convex Combinations of Adaptive Reduced-Rank Filters CoRR (2013)
Vítor H. Nascimento, Ali H. Sayed
Mean-square analysis of continuous-time distributed estimation strategies. ACSCC (2012)
Vítor H. Nascimento
Session TA8a2: Signal processing and adaptive systems II. ACSCC (2012)
Fernando G. Almeida Neto, Vítor H. Nascimento
Second-order analysis of the RC-WL-QLMS algorithm. ISWCS (2012)
Yuriy V. Zakharov, Vítor H. Nascimento
Sparse RLS adaptive filter with diagonal loading. ACSCC (2012)
Álvaro Gonzalo-Ayuso, Magno T. M. Silva, Vítor H. Nascimento, Jerónimo Arenas-García
Improving sparse echo cancellation via convex combination of two NLMS filters with different lengths. MLSP (2012)
Vítor H. Nascimento, Ali H. Sayed
Continuous-time distributed estimation with asymmetric mixing. SSP (2012)
Yuriy V. Zakharov, Vítor H. Nascimento
Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery. ACSCC (2012)
Vítor H. Nascimento, Rodrigo C. de Lamare
A low-complexity strategy for speeding up the convergence of convex combinations of adaptive filters. ICASSP (2012)
Flavio P. Ribeiro, Dinei A. F. Florêncio, Vítor H. Nascimento
Crowdsourcing subjective image quality evaluation. ICIP (2011)
Flavio P. Ribeiro, Vítor H. Nascimento
Computationally efficient regularized acoustic imaging. ICASSP (2011)
Vítor H. Nascimento, Ali H. Sayed
Continuous-time distributed estimation. ACSCC (2011)
Flavio P. Ribeiro, Vítor H. Nascimento
A fast transform for acoustic imaging with separable arrays. ICASSP (2011)
Flavio P. Ribeiro, Vítor H. Nascimento
Fast Transforms for Acoustic Imaging - Part II: Applications. IEEE Trans. Image Process. 20 (8) (2011)
Flavio P. Ribeiro, Vítor H. Nascimento
Fast Transforms for Acoustic Imaging - Part I: Theory. IEEE Trans. Image Process. 20 (8) (2011)
Rui Fa, Rodrigo C. de Lamare, Vítor H. Nascimento
Knowledge-aided STAP algorithm using convex combination of inverse covariance matrices for heterogenous clutter. ICASSP (2010)
Renato Candido, Magno T. M. Silva, Maria D. Miranda, Vítor H. Nascimento
A statistical analysis of the dual-mode CMA. ISCAS (2010)
Manolis C. Tsakiris, Cássio Guimarães Lopes, Vítor H. Nascimento
An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix. IEEE Signal Process. Lett. 17 (12) (2010)
Rodrigo C. de Lamare, Vítor H. Nascimento
Joint model-order and step-size adaptation with convex combinations of reduced-rank adaptive filters. ISWCS (2010)
Renato Candido, Magno T. M. Silva, Vítor H. Nascimento
Transient and steady-state analysis of the affine combination of two adaptive filters. IEEE Trans. Signal Process. 58 (8) (2010)
Magno T. M. Silva, Vítor H. Nascimento, Jerónimo Arenas-García
A transient analysis for the convex combination of two adaptive filters with transfer of coefficients. ICASSP (2010)
Vítor H. Nascimento, Magno T. M. Silva, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García
On the tracking performance of combinations of least mean squares and recursive least squares adaptive filters. ICASSP (2010)
Fernando G. Almeida Neto, Vítor H. Nascimento, Magno T. M. Silva
Reduced-complexity widely linear adaptive estimation. ISWCS (2010)
Renato Candido, Magno T. M. Silva, Vítor H. Nascimento
On combinations of CMA equalizers. ICASSP (2009)
Maria D. Miranda, M. T. M. Silva, Vítor H. Nascimento
Avoiding divergence in the constant modulus algorithm. ICASSP (2008)
Renato Candido, Magno T. M. Silva, Vítor H. Nascimento
Affine combinations of adaptive filters. ACSCC (2008)
Magno T. M. Silva, Vítor H. Nascimento
Tracking analysis of the constant modulus algorithm. ICASSP (2008)
Flavio P. Ribeiro, Vítor H. Nascimento
A robust and computationally efficient method for tonal active noise control using a simplified secondary path model. ICASSP (2008)
Magno T. M. Silva, Vítor H. Nascimento
Convex Combination of Blind Adaptive Equalizers with Different Tracking Capabilities. ICASSP (3) (2007)
Magno T. M. Silva, Vítor H. Nascimento
Convex Combination of Adaptive Filters with Different Tracking Capabilities. ICASSP (3) (2007)
Yasmín Montenegro M., José Carlos M. Bermudez, Vítor H. Nascimento
Modeling Finite Precision Lms Behavior Using Markov Chains. ICASSP (3) (2006)
Vítor H. Nascimento, José Carlos M. Bermudez
When is the least-mean fourth algorithm mean-square stable? ICASSP (4) (2005)
Vítor H. Nascimento
A simple model for the effect of normalization on the convergence rate of adaptive filters. ICASSP (2) (2004)
Vítor H. Nascimento
Analysis of the hierarchical LMS algorithm. IEEE Signal Process. Lett. 10 (3) (2003)
Pedro Inácio Hübscher, Vítor H. Nascimento, José Carlos M. Bermudez
New results on the stability analysis of the LMF (least mean fourth) adaptive algorithm. ICASSP (6) (2003)
Vítor H. Nascimento
Improving the initial convergence of adaptive filters: variable-length LMS algorithms. DSP (2002)
Ali H. Sayed, Vítor H. Nascimento, Flávio A. M. Cipparrone
A Regularized Robust Design Criterion for Uncertain Data. SIAM J. Matrix Anal. Appl. 23 (4) (2002)
Vítor H. Nascimento, Ali H. Sayed
On the learning mechanism of adaptive filters. IEEE Trans. Signal Process. 48 (6) (2000)
Vítor H. Nascimento, Ali H. Sayed
Unbiased and stable leakage-based adaptive filters. IEEE Trans. Signal Process. 47 (12) (1999)
Ali H. Sayed, Vítor H. Nascimento
Design criteria for uncertain models with structured and unstructured uncertainties. Robustness in Identification and Control (1998)