Eduardo Luiz Ortiz Batista

Digit. Signal Process., 2022

2021

Stochastic modeling of the CNLMS algorithm applied to adaptive beamforming.

[BibT_eX]

[DOI]

Artur Adolfo Falkovski

Eduardo Vinicius Kuhn

Marcos Vinicius Matsuo

Felipe Dennis de Resende Oliveira

Signal Process., 2021

On the Compression of Neural Networks Using 𝓁0-Norm Regularization and Weight Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A novel approach for beamforming based on adaptive combinations of vector projections.

[BibT_eX]

[DOI]

Guilherme Martignago Zilli

Dennis R. Morgan

Digit. Signal Process., 2020

2019

An Adaptive Approach for the Joint Antenna Selection and Beamforming Optimization.

[BibT_eX]

[DOI]

Wei-Ping Zhu

IEEE Access, 2019

2018

A Quadratically Constrained Stochastic Gradient Algorithm for Beamforming in Mobile Communications.

[BibT_eX]

[DOI]

Guilherme Martignago Zilli

IEEE Trans. Circuits Syst. II Express Briefs, 2018

2016

LCMV-Based Reduced-Rank Beamforming Algorithm With Enhanced Tracking Capability.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2016

Norm-constrained adaptive algorithms for sparse system identification based on projections onto intersections of hyperplanes.

[BibT_eX]

[DOI]

Eduardo Beck

Signal Process., 2016

A reduced-rank approach for implementing higher-order Volterra filters.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2016

Joint beamforming and power control using continuous updates of transmission power.

[BibT_eX]

[DOI]

Digit. Signal Process., 2016

A novel reduced-rank approach for implementing Volterra filters.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

2014

On the Joint Beamforming and Power Control in Cellular Systems: Algorithm and Stochastic Model.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2014

2013

On the performance of adaptive pruned Volterra filters.

[BibT_eX]

[DOI]

Signal Process., 2013

A new perspective on the convergence and stability of NLMS Hammerstein filters.

[BibT_eX]

[DOI]

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Improving the convergence of adaptive Hammerstein filters.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

2012

A fully LMS/NLMS adaptive scheme applied to sparse-interpolated Volterra filters with removed boundary effect.

[BibT_eX]

[DOI]

Signal Process., 2012

On the implementation of fully adaptive interpolated FIR filters.

[BibT_eX]

[DOI]

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Adaptive NLMS diagonally-interpolated Volterra filters for network echo cancellation.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

2010

A sparse-interpolated scheme for implementing adaptive volterra filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Efficient implementation of adaptive FIR-IFIR filters using the LMS algorithm.

[BibT_eX]

[DOI]

Proceedings of the 18th European Signal Processing Conference, 2010

2009

Fully adaptive LMS/NLMS interpolated Volterra filters with removed boundary effect.

[BibT_eX]

[DOI]

Proceedings of the 17th European Signal Processing Conference, 2009

2008

A fully adaptive IFIR filter with removed border effect.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

A fully LMS adaptive interpolated Volterra structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Border Effect Removal for IFIR and Interpolated Volterra Filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Stochastic model of the LMS volterra filter.

[BibT_eX]

[DOI]

Proceedings of the 15th European Signal Processing Conference, 2007

New insights in adaptive cascaded FIR structure: Application to fully adaptive interpolated FIR structures.

[BibT_eX]

[DOI]

Proceedings of the 15th European Signal Processing Conference, 2007

2005

Fully and partially interpolated adaptive Volterra filters.

[BibT_eX]

[DOI]