On the vaguelet and Riesz properties of L2-unbounded transformations of orthogonal wavelet bases. - Gustavo Didier; Stéphane Jaffard; Vladas Pipiras (J. Approx. Theory, 2013)

Demixing multivariate-operator self-similar processes. - Gustavo Didier; Hannes Helgason; Patrice Abry (ICASSP, 2015)

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. - Jordan Frécon; Romain Fontugne; Gustavo Didier; Nelly Pustelnik; Kensuke Fukuda; Patrice Abry (ICASSP, 2016)

Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion. - Jordan Frécon; Gustavo Didier; Nelly Pustelnik; Patrice Abry (IEEE Trans. Signal Process., 2016)

Multivariate scale-free dynamics: Testing fractal connectivity. - Sébastien Combrexelle; Herwig Wendt; Gustavo Didier; Patrice Abry (ICASSP, 2017)

Detecting and Estimating Multivariate Self-Similar Sources in High-Dimensional Noisy Mixtures. - Patrice Abry; Herwig Wendt; Gustavo Didier (SSP, 2018)

Tempered Fractional Brownian Motion: Wavelet Estimation and Modeling of Turbulence in Geophysical Flows. - B. Cooper Boniece; Farzad Sabzikar; Gustavo Didier (SSP, 2018)

Wavelet Domain Bootstrap for Testing the Equality of Bivariate Self-Similarity Exponents. - Herwig Wendt; Patrice Abry; Gustavo Didier (SSP, 2018)

Wavelet eigenvalue regression for n-variate operator fractional Brownian motion. - Patrice Abry; Gustavo Didier (J. Multivar. Anal., 2018)

Wavelet-Based Detection and Estimation of Fractional Lévy Signals in High Dimensions. - B. Cooper Boniece; Herwig Wendt; Gustavo Didier; Patrice Abry (CAMSAP, 2019)

On Multivariate Non-Gaussian Scale Invariance: Fractional Lévy Processes And Wavelet Estimation. - B. Cooper Boniece; Gustavo Didier; Herwig Wendt; Patrice Abry (EUSIPCO, 2019)

Detection and Estimation of Delays in Bivariate Self-similarity: Bootstrapped Complex Wavelet Coherence. - Gustavo Didier; Herwig Wendt; Patrice Abry (ICASSP, 2019)

Bootstrap-based Bias Reduction for the Estimation of the Self-similarity Exponents of Multivariate Time Series. - Herwig Wendt; Patrice Abry; Gustavo Didier (ICASSP, 2019)

Asymptotic Analysis of the Mean Squared Displacement under Fractional Memory Kernels. - Gustavo Didier; Hung D. Nguyen 002 (SIAM J. Math. Anal., 2020)

Bootstrap for testing the equality of selfsimilarity exponents across multivariate time series. - Charles-Gérard Lucas; Patrice Abry; Herwig Wendt; Gustavo Didier (EUSIPCO, 2021)

Drowsiness detection from polysomnographic data using multivariate selfsimilarity and eigen-wavelet analysis. - Charles-Gérard Lucas; Patrice Abry; Herwig Wendt; Gustavo Didier (EMBC, 2022)

Hurst multimodality detection based on large wavelet random matrices. - Oliver Orejola; Gustavo Didier; Patrice Abry; Herwig Wendt (EUSIPCO, 2022)

Counting the Number of Different Scaling Exponents in Multivariate Scale-Free Dynamics: Clustering by Bootstrap in the Wavelet Domain. - Charles-Gérard Lucas; Patrice Abry; Herwig Wendt; Gustavo Didier (ICASSP, 2022)

Epileptic Seizure Prediction from Eigen-Wavelet Multivariate Self-Similarity Analysis of Multi-Channel EEG Signals. - Charles-Gérard Lucas; Patrice Abry; Herwig Wendt; Gustavo Didier (EUSIPCO, 2023)

Identifying High-Dimensional Self-Similarity Based on Spectral Clustering Applied to Large Wavelet Random Matrices. - Oliver Orejola; Gustavo Didier; Herwig Wendt; Patrice Abry (EUSIPCO, 2024)

Multivariate Selfsimilarity: Multiscale Eigen-Structures for Selfsimilarity Parameter Estimation. - Charles-Gérard Lucas; Gustavo Didier; Herwig Wendt; Patrice Abry (IEEE Trans. Signal Process., 2024)

A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions. - Patrice Abry; Gustavo Didier; Oliver Orejola; Herwig Wendt (CoRR, 2025)