Gustavo Didier
Orcid: 0000-0003-1363-5868
According to our database1,
Gustavo Didier
authored at least 22 papers
between 2013 and 2025.
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Bibliography
2025
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions.
CoRR, January, 2025
2024
Multivariate Selfsimilarity: Multiscale Eigen-Structures for Selfsimilarity Parameter Estimation.
IEEE Trans. Signal Process., 2024
Identifying High-Dimensional Self-Similarity Based on Spectral Clustering Applied to Large Wavelet Random Matrices.
Proceedings of the 32nd European Signal Processing Conference, 2024
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
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
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
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
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