Gustavo Didier

Orcid: 0000-0003-1363-5868

According to our database1, Gustavo Didier authored at least 19 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Epileptic Seizure Prediction from Eigen-Wavelet Multivariate Self-Similarity Analysis of Multi-Channel EEG Signals.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Counting the Number of Different Scaling Exponents in Multivariate Scale-Free Dynamics: Clustering by Bootstrap in the Wavelet Domain.
Proceedings of the IEEE International Conference on Acoustics, 2022

Hurst multimodality detection based on large wavelet random matrices.
Proceedings of the 30th European Signal Processing Conference, 2022

Drowsiness detection from polysomnographic data using multivariate selfsimilarity and eigen-wavelet analysis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Bootstrap for testing the equality of selfsimilarity exponents across multivariate time series.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Asymptotic Analysis of the Mean Squared Displacement under Fractional Memory Kernels.
SIAM J. Math. Anal., 2020

2019
Bootstrap-based Bias Reduction for the Estimation of the Self-similarity Exponents of Multivariate Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019

Detection and Estimation of Delays in Bivariate Self-similarity: Bootstrapped Complex Wavelet Coherence.
Proceedings of the IEEE International Conference on Acoustics, 2019

On Multivariate Non-Gaussian Scale Invariance: Fractional Lévy Processes And Wavelet Estimation.
Proceedings of the 27th European Signal Processing Conference, 2019

Wavelet-Based Detection and Estimation of Fractional Lévy Signals in High Dimensions.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Wavelet eigenvalue regression for n-variate operator fractional Brownian motion.
J. Multivar. Anal., 2018

Wavelet Domain Bootstrap for Testing the Equality of Bivariate Self-Similarity Exponents.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Tempered Fractional Brownian Motion: Wavelet Estimation and Modeling of Turbulence in Geophysical Flows.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Detecting and Estimating Multivariate Self-Similar Sources in High-Dimensional Noisy Mixtures.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017
Multivariate scale-free dynamics: Testing fractal connectivity.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion.
IEEE Trans. Signal Process., 2016

Non-linear regression for bivariate self-similarity identification - application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Demixing multivariate-operator self-similar processes.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013
On the vaguelet and Riesz properties of L<sup>2</sup>-unbounded transformations of orthogonal wavelet bases.
J. Approx. Theory, 2013


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