Diego B. Haddad

According to our database, Diego B. Haddad authored at least 63 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sparsity-aware distributed adaptive filtering with robustness against impulsive noise and low SNR.

Rafael Moura do Carmo, Guilherme de R. Ferreira, Pedro Henrique Campelo, Leonardo C. Resende, Leonardo de Lima, Felipe da Rocha Henriques, Diego Barreto Haddad

Telecommun. Syst., July, 2024

Analyzing the LMS Weight Error Covariance Matrix: An Exact Expectation Approach.

Filipe Igreja, Pedro Lara, Luís Tarrataca, Laura S. de Assis, Fernanda D. V. R. Oliveira, Ana L. F. de Barros, Diego B. Haddad

Circuits Syst. Signal Process., July, 2024

Stability analysis of the bias compensated LMS algorithm.

Rodrigo M. S. Pimenta, Mariane R. Petraglia, Diego B. Haddad

Digit. Signal Process., 2024

Stochastic Modeling of the Set-Membership- Sign-NLMS Algorithm.

José V. G. de Souza, Felipe da Rocha Henriques, Newton N. Siqueira, Luís Tarrataca, Fabio Augusto de Alcantara Andrade, Diego B. Haddad

IEEE Access, 2024

ARCog-NET: An Aerial Robot Cognitive Network Architecture for Swarm Applications Development.

Gabryel Silva Ramos, Felipe da Rocha Henriques, Diego B. Haddad, Fabio Augusto de Alcantara Andrade, Milena F. Pinto

IEEE Access, 2024

2023

Improved Proportionate Constrained Normalized Least Mean Square for Adaptive Beamforming.

Mariana dos S. Vieitos, Michel Pompeu Tcheou, Diego B. Haddad, Maurício Henrique Costa Dias

Circuits Syst. Signal Process., December, 2023

Hybrid data augmentation method for combined failure recognition in rotating machines.

Dionísio H. C. S. S. Martins, Amaro A. de Lima, Milena F. Pinto, Douglas de O. Hemerly, Thiago de M. Prego, Fabrício Lopes e Silva, Luís Tarrataca, Ulisses A. Monteiro, Ricardo H. R. Gutiérrez, Diego B. Haddad

J. Intell. Manuf., April, 2023

Analysis of the least mean squares algorithm with reusing coefficient vector.

Leonardo C. Resende, Rodrigo M. S. Pimenta, Newton N. Siqueira, Filipe Igreja, Diego B. Haddad, Mariane R. Petraglia

Signal Process., 2023

Improved variational mode decomposition for combined imbalance-and-misalignment fault recognition and severity quantification.

Dionísio H. C. S. S. Martins, Amaro A. de Lima, Ricardo H. R. Gutiérrez, Denys Pestana-Viana, Sergio L. Netto, Luiz A. P. Vaz, Eduardo A. B. da Silva, Diego B. Haddad

Eng. Appl. Artif. Intell., 2023

2022

Composed Fault Dataset (COMFAULDA).

Dionísio H. C. S. S. Martins, Denys Pestana-Viana, Amaro Azevedo de Lima, Diego B. Haddad, Ricardo H. R. Gutiérrez, Luiz A. P. Vaz

Dataset, January, 2022

Memetic algorithm applied to topology control optimization of a wireless sensor network.

Jorge A. G. de Brito, Diego R. M. Totte, Fábio Silva, Jurair R. de P. Junior, Felipe da Rocha Henriques, Luís Tarrataca, Diego Barreto Haddad, Laura S. de Assis

Wirel. Networks, 2022

Multi-Armed Bandits for Minesweeper: Profiting From Exploration-Exploitation Synergy.

Igor Q. Lordeiro, Diego B. Haddad, Douglas de O. Cardoso

IEEE Trans. Games, 2022

Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications.

Carlos A. M. Correia, Fabio Augusto de Alcantara Andrade, Agnar Sivertsen, Ihannah Pinto Guedes, Milena Faria Pinto, Aline Gesualdi Manhães, Diego Barreto Haddad

Sensors, 2022

Hybrid methodology based on computational vision and sensor fusion for assisting autonomous UAV on offshore messenger cable transfer operation.

Gabryel Silva Ramos, Milena F. Pinto, Fabrício O. Coelho, Leonardo de Mello Honório, Diego B. Haddad

Robotica, 2022

A Family of Adaptive Volterra Filters Based on Maximum Correntropy Criterion for Improved Active Control of Impulsive Noise.

Guttikonda Gowtham, Srikanth Burra, Asutosh Kar, Jan Østergaard, Pitikhate Sooraksa, Vladimir Mladenovic, Diego B. Haddad

Circuits Syst. Signal Process., 2022

Long-Term Person Reidentification: Challenges and Outlook.

Anderson Manhães, Gabriel Matos Araujo, Douglas de O. Cardoso, Milena F. Pinto, Jeferson Colares, Paulo Leitão, Diego Brandão, Diego B. Haddad

Proceedings of the Optimization, Learning Algorithms and Applications, 2022

2021

On the Skewness of the LMS Adaptive Weights.

Thiago T. P. Silva, Filipe Igreja, Pedro Lara, Luís Tarrataca, Asutosh Kar, Diego B. Haddad

IEEE Trans. Circuits Syst. II Express Briefs, 2021

New efficient subband structures for blind source separation.

Paulo Bulkool Batalheiro, Mariane R. Petraglia, Diego B. Haddad

Signal Process., 2021

A Rhythmic Activation Mechanism for Soft Multi-legged Robots.

Rafaela Aparecida Garcia Sampaio, Fabrício Lopes e Silva, Cristiano de Souza de Carvalho, Gabriel Matos Araujo, Milena Faria Pinto, Diego Barreto Haddad, Felipe Maia Galvão França

J. Intell. Robotic Syst., 2021

Transient Analysis of the Set-Membership LMS Algorithm.

Newton N. Siqueira, Tiago P. Ferreira, Leonardo C. Resende, Rodrigo M. S. Pimenta, Diego B. Haddad, Mariane R. Petraglia

IEEE Commun. Lett., 2021

Transient Analysis of the Block Least Mean Squares Algorithm.

Thiago Gonzaga, Valmir dos S. N. Junior, Ana L. F. de Barros, Felipe da Rocha Henriques, Diego B. Haddad

IEEE Commun. Lett., 2021

On the Analysis of the Incremental ℓ ₀-LMS Algorithm for Distributed Systems.

Robson Antonio do Prado, Raphael M. Guedes, Felipe da Rocha Henriques, Felipe M. da Costa, Luís D. T. J. Tarrataca, Diego B. Haddad

Circuits Syst. Signal Process., 2021

Constrained Least Mean Square Algorithm with Coefficient Reusing.

Valmir S. Nogueira Junior, Michel Pompeu Tcheou, Maurício Henrique Costa Dias, Diego B. Haddad

Circuits Syst. Signal Process., 2021

Blind and Semi-blind Anechoic Mixing System Identification Using Multichannel Matching Pursuit.

Diego B. Haddad, Lisandro Lovisolo, Mariane Rembold Petraglia, Paulo Bulkool Batalheiro, Jorge Costa Pires Filho

Circuits Syst. Signal Process., 2021

2020

An Exact Expectation Model for the LMS Tracking Abilities.

Thiago T. P. Silva, Pedro Lara, Filipe Igreja, Fernanda D. V. R. Oliveira, Luís Tarrataca, Diego B. Haddad

IEEE Trans. Signal Process., 2020

Advances on the analysis of the LMS algorithm with a colored measurement noise.

Pedro Lara, Diego B. Haddad, Luís Tarrataca

Signal Image Video Process., 2020

On the Performance Analysis of Normalized Subband Adaptive Filtering Algorithm with Sparse Subfilters.

Pedro Paulo S. Xavier, Diego B. Haddad, Mariane R. Petraglia

Circuits Syst. Signal Process., 2020

Novel Proportionate Adaptive Filters with Coefficient Vector Reusing.

José V. G. de Souza, Diego B. Haddad, Felipe da Rocha Henriques, Mariane R. Petraglia

Circuits Syst. Signal Process., 2020

Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi.

Luís Tarrataca, Clauda M. Dias, Diego Barreto Haddad, Edilson F. Arruda

CoRR, 2020

Recent Advances in Overcoming the Independence Assumption in Adaptive Filtering Analyses.

Thiago T. P. Silva, Pedro Lara, Thiago Gonzaga, Diego N. Brandão, Luís Tarrataca, Diego B. Haddad

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

EvolveDTree: Analyzing Student Dropout in Universities.

Gustavo Alexandre Sousa Santos, Kele T. Belloze, Luís Tarrataca, Diego B. Haddad, Alex Laier Bordignon, Diego N. Brandão

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

2019

Exact Expectation Evaluation and Design of Variable Step-Size Adaptive Algorithms.

Pedro Lara, Filipe Igreja, Luís Tarrataca, Diego Barreto Haddad, Mariane R. Petraglia

IEEE Signal Process. Lett., 2019

Exact expectation analysis of the deficient-length LMS algorithm.

Pedro Lara, Luís Tarrataca, Diego B. Haddad

Signal Process., 2019

Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control.

Fabio Augusto de Alcantara Andrade, Anthony Hovenburg, Luciano Netto de Lima, Christopher Dahlin Rodin, Tor Arne Johansen, Rune Storvold, Carlos A. M. Correia, Diego Barreto Haddad

Sensors, 2019

Efficient Volterra systems identification using hierarchical genetic algorithms.

Laura S. de Assis, Jurair R. de P. Junior, Luís Tarrataca, Diego B. Haddad

Appl. Soft Comput., 2019

Collaborative information system to find efficient routes using public transport.

Diego H. B. Zanchett, Jurair R. de P. Junior, André Felipe Monteiro, Diego B. Haddad, Laura S. de Assis

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

Data Warehouse Educacional: Uma visão sobre a Evasão no Ensino Superior.

Gustavo Alexandre Sousa Santos, Alex Laier Bordignon, Diego B. Haddad, Diego N. Brandão, Luís Tarrataca, Kele Teixeira Belloze

Proceedings of the 34th Brazilian Symposium on Databases, 2019

A Novel Sequential Activation Method for the Locomotion of Quadrupedal Soft Robots.

Rafaela Aparecida Garcia Sampaio, Fabrício Lopes e Silva, Cristiano de Souza de Carvalho, Diego Barreto Haddad, Gabriel Matos Araujo, Felipe M. G. França

Proceedings of the Latin American Robotics Symposium, 2019

A Deep Reinforcement Learning Approach to Asset-Liability Management.

Alan Fontoura, Diego Barreto Haddad, Eduardo Bezerra

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Evaluating the Influence of Mulsemedia Content in Reading.

Natália Vieira, Anderson Pinto, Felipe Silva, Helder Yukio Okuno, Iury Amorim, Taymison Ramos, Diego B. Haddad, Glauco Amorim, Gustavo Paiva Guedes, Joel A. F. dos Santos

Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018

Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems.

Christopher Dahlin Rodin, Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Diego Barreto Haddad, Tor Arne Johansen, Rune Storvold

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sparsity-Aware Distributed Adaptive Filtering Algorithms for Nonlinear System Identification.

Robson Antonio do Prado, Felipe da Rocha Henriques, Diego Barreto Haddad

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors.

Diego B. Haddad, Laura S. de Assis, Luís Tarrataca, Andrea da S. Gomes, Marcos Bacis Ceddia, Rosane F. Oliveira, Jurair R. de P. Junior, Diego N. Brandão

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A New Proportionate Adaptive Filtering Algorithm with Coefficient Reuse and Robustness Against Impulsive Noise.

Rodrigo M. S. Pimenta, Leonardo C. Resende, Newton N. Siqueira, Diego B. Haddad, Mariane R. Petraglia

Proceedings of the 26th European Signal Processing Conference, 2018

A Variable Step-Size NLMS Algorithm with Adaptive Coefficient Vector Reusing.

Leonardo C. Resende, Diego B. Haddad, Mariane R. Petraglia

Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018

2017

Acoustic Sensor Self-Localization: Models and Recent Results.

Diego B. Haddad, Markus V. S. Lima, Wallace A. Martins, Luiz W. P. Biscainho, Leonardo O. Nunes, Bowon Lee

Wirel. Commun. Mob. Comput., 2017

A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-Brazil.

Tayana Moreira, Diego N. Brandão, Diego B. Haddad, Marcos B. Ceddia, E. F. M. Pinheiro, Rosane F. Oliveira

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Robust Acoustic Self-Localization of Mobile Devices.

Diego B. Haddad, Wallace Alves Martins, Maurício do Vale Madeira da Costa, Luiz W. P. Biscainho, Leonardo O. Nunes, Bowon Lee

IEEE Trans. Mob. Comput., 2016

Affine Projection Subband Adaptive Filter With Low Computational Complexity.

Mariane R. Petraglia, Diego B. Haddad, Elias L. Marques

IEEE Trans. Circuits Syst. II Express Briefs, 2016

Transient analysis of l₀-LMS and l₀-NLMS algorithms.

Karen da S. Olinto, Diego B. Haddad, Mariane R. Petraglia

Signal Process., 2016

Low-complexity affine projection subband algorithm for robust adaptive filtering in impulsive noise.

Mariane R. Petraglia, Elias L. Marques, Diego B. Haddad

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

A unified approach for sparsity-aware and maximum correntropy adaptive filters.

Diego Barreto Haddad, Mariane Rembold Petraglia, Antonio Petraglia

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Normalized Subband Adaptive Filtering Algorithm With Reduced Computational Complexity.

Mariane R. Petraglia, Diego B. Haddad, Elias L. Marques

IEEE Trans. Circuits Syst. II Express Briefs, 2015

A RBF Neural Network applied to predict soil Field Capacity and Permanent Wilting Point at Brazilian coast.

Giorgia R. N. Carvalho, Diego N. Brandão, Diego B. Haddad, Vinicius Leal do Forte, Marcos B. Ceddia

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Transient and steady-state MSE analysis of the IMPNLMS algorithm.

Diego B. Haddad, Mariane R. Petraglia

Digit. Signal Process., 2014

2013

Closed-form solutions for robust acoustic sensor localization.

Diego B. Haddad, Leonardo O. Nunes, Wallace Alves Martins, Luiz W. P. Biscainho, Bowon Lee

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

2012

Mean-square error and stability analysis of a subband structure for the rapid identification of sparse impulse responses.

Mariane R. Petraglia, Diego B. Haddad

Digit. Signal Process., 2012

2011

A New Initialization Method for Frequency-Domain Blind Source Separation Algorithms.

Felipe S. P. Clark, Mariane R. Petraglia, Diego B. Haddad

IEEE Signal Process. Lett., 2011

Subband blind source separation considering acoustic reverberation characteristics.

Paulo Bulkool Batalheiro, Mariane Rembold Petraglia, Diego B. Haddad

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2010

New adaptive algorithms for identification of sparse impulse responses - Analysis and comparisons.

Mariane R. Petraglia, Diego B. Haddad

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

2009

On IIR Filters and Convergence Acceleration for Convolutive Blind Source Separation.

Diego B. Haddad, Mariane R. Petraglia, Paulo Bulkool Batalheiro

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Online Subband Blind Source Separation for Convolutive Mixtures Using a Uniform Filter Bank with Critical Sampling.

Paulo Bulkool Batalheiro, Mariane R. Petraglia, Diego B. Haddad

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008

Blind source separation for convolutive mixtures using a non-uniform oversampled filter bank.

Mariane R. Petraglia, Paulo Bulkool Batalheiro, Diego B. Haddad

Proceedings of the 2008 16th European Signal Processing Conference, 2008