José Carlos M. Bermudez

Orcid: 0000-0002-6712-939X

Affiliations:
  • Federal University of Santa Catarina, Florianópolis, Brazil


According to our database1, José Carlos M. Bermudez authored at least 154 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Analysis of the Least Mean Square algorithm with processing delays in the adaptive arm for Gaussian inputs for system identification.
Signal Process., April, 2024

A Generalized Multiscale Bundle-Based Hyperspectral Sparse Unmixing Algorithm.
IEEE Geosci. Remote. Sens. Lett., 2024

Evaluation Metrics and Method for Planned Regulatory Inspection Targeting.
IEEE Access, 2024

2022
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Analysis of a Diffusion LMS Algorithm With Communication Delays for Cyclostationary White Gaussian Inputs.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image.
SIAM J. Imaging Sci., 2022

Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Risk-based regulation for all: The need and a method for a wide adoption solution for data-driven inspection targeting.
CoRR, 2022

A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis.
CoRR, 2022

2021
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data.
IEEE Trans. Computational Imaging, 2021

Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest [SP Competitions].
IEEE Signal Process. Mag., 2021

Stochastic analysis of the diffusion LMS algorithm for cyclostationary white Gaussian inputs.
Signal Process., 2021

Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis.
IEEE Geosci. Remote. Sens. Lett., 2021

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process., 2021

Stochastic Analysis of the Diffusion Least Mean Square and Normalized Least Mean Square Algorithms for Cyclostationary White Gaussian and Non-Gaussian Inputs.
CoRR, 2021

A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Coupled Tensor Models Accounting for Inter-image Variability.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Stochastic Analysis of the Recursive Least Squares Algorithm for Cyclostationary Colored Inputs.
IEEE Trans. Signal Process., 2020

A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing.
IEEE Trans. Image Process., 2020

A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability.
IEEE Trans. Image Process., 2020

Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability.
IEEE Trans. Image Process., 2020

Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing.
IEEE Trans. Computational Imaging, 2020

Highlights From the Signal Processing Theory and Methods Technical Committee [In the Spotlight].
IEEE Signal Process. Mag., 2020

A switched variable step size NLMS adaptive filter.
Digit. Signal Process., 2020

Online Graph-Based Change Point Detection in Multiband Image Sequences.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations.
IEEE Trans. Image Process., 2019

Stochastic analysis of the LMS algorithm for cyclostationary colored Gaussian inputs.
Signal Process., 2019

A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2019

Stochastic analysis of the LMS algorithm for cyclostationary colored Gaussian and non-Gaussian inputs.
Digit. Signal Process., 2019

Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor.
Proceedings of the IEEE International Conference on Acoustics, 2019

Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
A New Decision-Theory-Based Framework for Echo Canceler Control.
IEEE Trans. Signal Process., 2018

Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian and Non-Gaussian Inputs.
IEEE Trans. Signal Process., 2018

Stochastic behavior analysis of the Gaussian KLMS algorithm for a correlated input signal.
Signal Process., 2018

Performance of soft limiters in the LMS algorithm for cyclostationary white Gaussian inputs.
Signal Process., 2018

Stochastic analysis of soft limiters in the LMS algorithm for stationary white Gaussian inputs - A unified theory.
Signal Process., 2018

An adaptive combination constrained proportionate normalized maximum correntropy criterion algorithm for sparse channel estimations.
EURASIP J. Adv. Signal Process., 2018

Super-resolution reconstruction of electrical impedance tomography images.
Comput. Electr. Eng., 2018

A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Generalized Linear Mixing Model Accounting for Endmember Variability.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem.
IEEE Trans. Image Process., 2017

Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
CoRR, 2017

Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control.
CoRR, 2017

A new kernel Kalman filter algorithm for estimating time-varying nonlinear systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A design methodology for the Gaussian KLMS algorithm.
Proceedings of the 25th European Signal Processing Conference, 2017

A new adaptive video SRR algorithm with improved robustness to innovations.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
A New Theoretical Model for the Pseudo Affine Projection Algorithm for Unity Step Size and Autoregressive Inputs.
IEEE Trans. Signal Process., 2016

Stochastic Analysis of an Adaptive Line Enhancer/Canceler With a Cyclostationary Input.
IEEE Trans. Signal Process., 2016

Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images.
IEEE Trans. Image Process., 2016

Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning.
Signal Process., 2016

Reweighted nonnegative least-mean-square algorithm.
Signal Process., 2016

Stochastic analysis of the Least Mean Kurtosis algorithm for Gaussian inputs.
Digit. Signal Process., 2016

Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem.
CoRR, 2016

2015
Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Band selection in RKHS for fast nonlinear unmixing of hyperspectral images.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Statistical Analysis of a Jointly Optimized Beamformer-Assisted Acoustic Echo Canceler.
IEEE Trans. Signal Process., 2014

Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis.
IEEE Trans. Signal Process., 2014

Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian Inputs.
IEEE Trans. Signal Process., 2014

Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms.
IEEE Signal Process. Mag., 2014

Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants.
IEEE Signal Process. Lett., 2014

Stochastic analysis of the least mean fourth algorithm for non-stationary white Gaussian inputs.
Signal Image Video Process., 2014

Convex combinations of kernel adaptive filters.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Statistical analysis of jointly-optimized GSC implementations of beamformer-assisted acoustic echo cancelers.
Proceedings of the IEEE International Conference on Acoustics, 2014

Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014

Convergence analysis of kernel LMS algorithm with pre-tuned dictionary.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Region-Based Wavelet-Packet Adaptive Algorithm for Identification of Sparse Impulse Responses.
IEEE Trans. Signal Process., 2013

Statistical analysis of the jointly-optimized acoustic echo cancellation BF-AEC structure.
Proceedings of the IEEE International Conference on Acoustics, 2013

A robust test for nonlinear mixture detection in hyperspectral images.
Proceedings of the IEEE International Conference on Acoustics, 2013

Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2012

Transient Mean-Square Analysis of Prediction Error Method-Based Adaptive Feedback Cancellation in Hearing Aids.
IEEE Trans. Speech Audio Process., 2012

Identification of sparse impulse responses - design and implementation using the partial Haar block wavelet transform.
Digit. Signal Process., 2012

A linearly-constrained approach for filtered-x wiener filtering.
Proceedings of the 20th European Signal Processing Conference, 2012

New insights into the weight behaviour of the Affine Projection algorithm.
Proceedings of the 20th European Signal Processing Conference, 2012

Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Nonnegative Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2011

Stochastic analysis of an error power ratio scheme applied to the affine combination of two LMS adaptive filters.
Signal Process., 2011

Mean-square stability of the Normalized Least-Mean Fourth algorithm for white Gaussian inputs.
Digit. Signal Process., 2011

Steady-state behavior and design of the Gaussian KLMS algorithm.
Proceedings of the 19th European Signal Processing Conference, 2011

A modified non-negative LMS algorithm and its stochastic behavior analysis.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw., 2010

A stochastic model for the deficient order Affine Projection algorithm.
Proceedings of the 10th International Conference on Information Sciences, 2010

Mimetic wavelet-packet transform based adaptive algorithm for sparse response identification.
Proceedings of the IEEE International Conference on Acoustics, 2010

A theoretical model for the deficient order pseudo-affine projection algorithm.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Echo Cancellation - The Generalized Likelihood Ratio Test For Double-Talk Versus Channel Change.
IEEE Trans. Signal Process., 2009

Online Prediction of Time Series Data With Kernels.
IEEE Trans. Signal Process., 2009

Registration errors: are they always bad for super-resolution?
IEEE Trans. Signal Process., 2009

A Stochastic Model for a Pseudo Affine Projection Algorithm.
IEEE Trans. Signal Process., 2009

Design of high capacity 3D print codes with visual cues aiming for robustness to the PS channel and external distortions.
Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing, 2009

Design of high capacity 3D print codes aiming for robustness to the PS channel and external distortions.
Proceedings of the International Conference on Image Processing, 2009

Functional estimation in Hilbert space for distributed learning in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

A stochastic model for the deficient length Pseudo Affine Projection adaptive algorithm.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Informed Choice of the LMS Parameters in Super-Resolution Video Reconstruction Applications.
IEEE Trans. Signal Process., 2008

An Affine Combination of Two LMS Adaptive Filters - Transient Mean-Square Analysis.
IEEE Trans. Signal Process., 2008

Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs.
IEEE Trans. Signal Process., 2008

Statistical analysis of the LMS adaptive algorithm subjected to a symmetric dead-zone nonlinearity at the adaptive filter output.
Signal Process., 2008

A noise resilient variable step-size LMS algorithm.
Signal Process., 2008

Region-Based Wavelet-Packet Adaptive Algorithm for Sparse Response Identification.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

Mean Weight Behavior of Coupled LMS Adaptive Systems Applied to Acoustic Feedback Cancellation in Hearing Aids.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

Low-complexity robust sparse channel identification using partial block wavelet transforms-analysis and implementation.
Proceedings of the IEEE International Conference on Acoustics, 2008

On performance bounds for an affine combination of two LMS adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

An affine combination of two NLMS adaptive filters - Transient mean-square analysis.
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.
IEEE Trans. Signal Process., 2007

Statistical Analysis of the LMS Algorithm Applied to Super-Resolution Image Reconstruction.
IEEE Trans. Signal Process., 2007

On-line Nonlinear Sparse Approximation of Functions.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Wavelet-Packet-Based Adaptive Algorithm for Sparse Impulse Response Identification.
Proceedings of the IEEE International Conference on Acoustics, 2007

Improving Robustness of CDM Spread Spectrumwatermarking.
Proceedings of the IEEE International Conference on Acoustics, 2007

Are Registration Errors Always Bad for Super-Resolution?
Proceedings of the IEEE International Conference on Acoustics, 2007

Analysis of LMS Algorithm Behavior with Subspace Inputs.
Proceedings of the IEEE International Conference on Acoustics, 2007

Mean-square error analysis of the LMS-RVSS adaptive algorithm.
Proceedings of the 15th European Signal Processing Conference, 2007

Statistical analysis of the deficient length affine projection adaptive algorithm.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Probability of divergence for the least-mean fourth algorithm.
IEEE Trans. Signal Process., 2006

On the Design of the LMS Algorithm for Robustness to Outliers in Super-Resolution Video Reconstruction.
Proceedings of the International Conference on Image Processing, 2006

Modeling Finite Precision Lms Behavior Using Markov Chains.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Statistical Analysis of the Lms Algorithm Applied to Super-Resolution Video Reconstruction.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Robust Variable Step Size Algorithm for Lms Adaptive Filters.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
A statistical analysis of the affine projection algorithm for unity step size and autoregressive inputs.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

Multi-bit informed embedding watermarking with constant robustness.
Proceedings of the 2005 International Conference on Image Processing, 2005

When is the least-mean fourth algorithm mean-square stable?
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A new analytical model for the NLMS algorithm.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
A statistical analysis of the multi-split LMS algorithm.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A recursive least squares algorithm robust to low-power excitation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Properties of the kurtosis performance surface in linear estimation: application to adaptive filtering.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A stochastic model for the affine projection algorithm operating in a nonstationary environment.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
An improved statistical analysis of the least mean fourth (LMF) adaptive algorithm.
IEEE Trans. Signal Process., 2003

A fully analytical recursive stochastic model to the normalized signed regressor LMS algorithm.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

New results on the stability analysis of the LMF (least mean fourth) adaptive algorithm.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A stochastic model for the convergence behavior of the affine projection algorithm for Gaussian inputs.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Stochastic analysis of the filtered-X LMS algorithm in systems with nonlinear secondary paths.
IEEE Trans. Signal Process., 2002

An improved stochastic model for the least mean fourth (LMF) adaptive algorithm.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

An improved model for the Normalized LMS algorithm with Gaussian inputs and large number of coefficients.
Proceedings of the IEEE International Conference on Acoustics, 2002

Optimum leakage factor for the MOV-LMS algorithm in nonlinear modeling and control systems.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Stochastic analysis of the LMS algorithm with a saturation nonlinearity following the adaptive filter output.
IEEE Trans. Signal Process., 2001

Evaluation and design of variable step size adaptive algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2001

A true stochastic gradient adaptive algorithm for applications using nonlinear actuators.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Mean weight behavior of the filtered-X LMS algorithm.
IEEE Trans. Signal Process., 2000

Nonlinear secondary-path effects on the transient behavior of the multiple-error FXLMS algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Stochastic analysis of the delayed LMS algorithm for a new model.
Proceedings of the IEEE International Conference on Acoustics, 2000

The performance surface in nonlinear mean square estimation: application to the active noise control problem.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Statistical analysis of the FXLMS algorithm with a nonlinearity in the secondary-path.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Second moment analysis of the filtered-X LMS algorithm.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Statistical analysis of the LMS algorithm with a zero-memory nonlinearity after the adaptive filter.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Sinusoidal interference rejection analysis of an LMS adaptive feedforward controller with a noisy periodic reference.
IEEE Trans. Signal Process., 1998

Mean weight behavior of the Filtered-X LMS algorithm.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1996
A nonlinear analytical model for the quantized LMS algorithm-the power-of-two step size case.
IEEE Trans. Signal Process., 1996

New insights on the transient and steady-state behavior of the quantized LMS algorithm.
IEEE Trans. Signal Process., 1996

Transient and tracking performance analysis of the quantized LMS algorithm for time-varying system identification.
IEEE Trans. Signal Process., 1996

A nonlinear analytical model for the quantized LMS algorithm-the arbitrary step size case.
IEEE Trans. Signal Process., 1996

Analysis of an LMS adaptive feedforward controller for periodic disturbance rejection: Non-wiener solutions for the LMS algorithm with a noisy reference-revisited.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
A nonlinear analytical model for quantization effects in the LMS algorithm with power-of-two step size.
Proceedings of the 1995 International Conference on Acoustics, 1995

1993
An improved quantization model for the finite precision LMS adaptive algorithm.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993


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