1. Guillaume Lauga, Elisa Riccietti, Nelly Pustelnik, and Paulo Gonçalves. Méthodes proximales multi-niveaux pour la restauration d'images. In 28ème colloque GRETSI, Nancy (France), Sept. 2022. Keyword(s): Optimization, image restauration, inverse problems, multi-scale. [bibtex-entry]



2. Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, and Paulo Gonçalves. FAST MULTISCALE DIFFUSION ON GRAPHS. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., May 2022. Keyword(s): graph signal processing, optimal transport, Diffusion on graphs, domain adaptation. [bibtex-entry]

1. Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, and Titouan Vayer. Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. In ICTAI 2021 - 33rd IEEE International Conference on Tools with Artificial Intelligence, Virtual conference, France, pages 1-8, Nov. 2021. IEEE. Keyword(s): optimal transport, graph signal processing, graphs, domain adaptation, heat kernel. [bibtex-entry]

1. Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, and Rémi Gribonval. Graph Diffusion Wasserstein Distances. In European Conference on Machine Learning, 2020. Keyword(s): optimal transport, graph signal processing, Diffusion on graphs, classification, domain adaptation. [bibtex-entry]



2. Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, and Rémi Gribonval. Transport Optimal entre Graphes exploitant la Diffusion de la Chaleur. In Conférence sur l'Apprentissage automatique, 2020. Keyword(s): optimal transport, graph signal processing, Diffusion on graphs, domain adaptation. [bibtex-entry]



3. Gaëtan Frusque, Pierre Borgnat, Paulo Gonçalves, and Julien Jung. Extraction of functional dynamic networks describing patient's epileptic seizures. In Conference on Complex Systems, December 7-11 2020. Keyword(s): graph signal processing, graphical lasso, graphs, neurosciences, dynamic grahps, epileptogenic networks. [bibtex-entry]



4. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Regularized partial phase synchrony index applied to dynamical functional connectivity estimation. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Barcelona, Spain, 2020. Keyword(s): graph signal processing, estimation, graphical lasso. [bibtex-entry]



5. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Temporarily Activated Patterns for Multi-trial Functional Connectivity Data. In Second Internaitonal Conference on Advances in Signal Processing and Artifical Intelligence (ASPAI), Berlin (Germany), November 2020. Keyword(s): epileptogenic networks, graph signal processing, graphical lasso, dynamic grahps. [bibtex-entry]

1. Dominique Barbe, Pierre Borgnat, Paulo Gonçalves, and Marc Sebban. Transport Optimal sous Contrainte de Régularité pour l'Adaptation de Domaines entre Graphes avec Attributs. In XXVIIe colloque GRETSI, Lille, France, August 2019. [WWW] [PDF] [bibtex-entry]



2. R. Fontugne, E. Bautista, C. Petrie, Nomura. Y., P. Abry, P. Gonçalves, K. Fukuda, and E. Aben. BGP Zombies: an Analysis of Beacons Stuck Routes. In 20th Passive and Active Measurements Conference (PAM'19), Chile, Puerto Varas, March 27--29 2019. Note: Best paper award. Keyword(s): graph based semi-supervised learning, networks. [bibtex-entry]



3. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Réduction de dimension tensorielle parcimonieuse: Application au clustering de connectivité fonctionnelle. In XXVIIe colloque GRETSI, Lille, France, August 2019. [WWW] [PDF] [bibtex-entry]



4. Marija Stojanova, Thomas Begin, and Paulo Gonçalves. Traitement du signal sur graphe pour modéliser les WLANs. In XXVIIe colloque GRETSI, Lille, France, August 2019. [WWW] [PDF] [bibtex-entry]

1. S. De Nigris, E. Bautista, P. Abry, K. Avrachenkov, and P. Gonçalves. Fractional Graph-based Semi-Supervised Learning. In International School and Conference on Network Science, Paris (France), June 2018. Keyword(s): graph based semi-supervised learning, graph signal processing,. [bibtex-entry]



2. M. Tsitsvero, P. Borgnat, and P. Gonçalves. Multidimensional analytic signals with application on graphs. In IEEE Satistical Signal Processing Workshop, 2018. Keyword(s): graph signal processing, harmonic analysis, multi-dimensional signals. [bibtex-entry]

1. E. Bautista, S. De Nigris, P. Abry, K. Avrachenkov, and P. Gonçalves. Lévy Flights for Graph Based Semi-Supervised Classification. In Proceeding of the 26th colloquium GRETSI, 2017. Keyword(s): graph based semi-supervised learning, graph signal processing, random walks, Lévy flights. [bibtex-entry]



2. S. De Nigris, E. Bautista, P. Abry, K. Avrachenkov, and P. Gonçalves. Fractional Graph-based Semi-Supervised Learning. In Proc. 25th European Signal Processing Conference, 2017. Keyword(s): graph based semi-supervised learning, graph signal processing, random walks, Lévy flights. [bibtex-entry]



3. B. Girault, S. Narayanan, A. Ortega, P. Gonçalves, and E. Fleury. GRASP: A matlab toolbox for graph signal processing. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., New Orleans (US), March 2017. Keyword(s): graph signal processing, Matlab toolbox. [bibtex-entry]

1. B. Girault, P. Gonçalves, S. Narayanan, and A. Ortega. Localization bounds for the graph translation. In IEEE Global Conference on Signal and Information Processing, 2016. Keyword(s): graph signal processing, stationnarity,. [bibtex-entry]

1. P. Borgnat, P. Gonçalves, N. Tremblay, and N. Willaime-Angonin. Community mining with graph filters for correlation matrices. In Asilomar Conference on Signals, Systems, and Computers, 2015. Keyword(s): graph signal processing, communities detection, classification, random matrices. [bibtex-entry]



2. B. Girault, P. Gonçalves, and E. Fleury. Signaux sur Graphe Stationnaires: Etude d'un Cas Réel. In Proceedings of the 25th Colloquium GRETSI, Lyon (France), 2015. Keyword(s): graph signal processing. [bibtex-entry]

1. B. Girault, E. Fleury, and P. Gonçalves. Traitement du Signal sur Graphe: Interprétation en termes de Filtre de l'Apprentissage Semi-Supervisé sur Graphe. In ALGOTEL 2014 -- 16èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, 2014. Keyword(s): graph signal processing, graph based semi-supervised learning, machine learning. [bibtex-entry]



2. B. Girault, P. Gonçalves, E. Fleury, and A. Singh Mor. GRASP: A matlab toolbox for graph signal processing. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Firenze (Italy), May 2014. Keyword(s): graph signal processing, graph based semi-supervised learning, machine learning. [bibtex-entry]



3. J. Spilka, P. Abry, P. Gonçalves, and M. Doret. Impacts of labour first and second stages on Hurst parameter based intrapartum fetal Heart Rate analysis. In IEEE International Conference on Computing in Cardiology, Cambridge (MA), US, September 2014. Keyword(s): biomedical, Multifractal analysis, FECG, HRV. [bibtex-entry]



4. J. Spilka, S. Roux, N. Garnier, P. Abry, P. Gonçalves, and M. Doret. Nearest-Neighbor based Wavelet Entropy Rate Measures for Intrapartum Fetal Heart Rate Variability. In 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago (Illinois), US, August 2014. Keyword(s): biomedical, Multifractal analysis, FECG, HRV. [bibtex-entry]

1. P. Abry, S. Roux, V. Chudácek, P. Borgnat, P. Gonçalves, and M. Doret. Hurst Exponent IntraPartum Fetal Heart Rate: Impact of Decelerations. In 26th IEEE International Symposium on Computer-Based Medical Systems, Porto (Portugal), june 2013. Note: Best paper award. Keyword(s): biomedical, Multifractal analysis, FECG, HRV. [bibtex-entry]



2. A. Ancel, K. Baba, J. Cisonni, Y. Fujiso, P. Goncalves, M. Imbert, K. Koyamada, K. Nozaki, H. Ohsaki, A.-C. Orgerie, X. Pelorson, B. Raffin, N. Sakamoto, E. Sakane, S. Wada, S. Shimojo, A. Van Hirtum, P. Neyron, and I. Assenmacher. Petaflow - an example of communication and computational technologies with social impact. In The 4th IEEE International Workshop on High-Speed Network and Computing Environment (in conjonction with the 37th Annual International Computer Software & Applications Conference), Kyoto (Japan), July 2013. Keyword(s): networks, metrology,. [bibtex-entry]



3. K. Avrachenkov, P. Gonçalves, and M. Sokol. On the Choice of Kernel and Labelled Data in Semi-supervised Learning Methods. In 10th Workshop on Algorithms and Models for the Web Graph, Harvard University, Cambridge, MA, USA, December 14-15 2013. Keyword(s): graph based semi-supervised learning, machine learning, networks,. [bibtex-entry]



4. B. Girault, E. Fleury, and P. Gonçalves. Function analysis through wavelets on dynamic contact graphs. In ECCS Satellite Contagion workshop, Barcelona, Spain, September 2013. Keyword(s): graphs, wavelets, epidemic models. [bibtex-entry]



5. B. Girault, P. Gonçalves, and E. Fleury. Graphe de contacts et ondelettes : étude d'une diffusion bactérienne. In Proceedings of the 24th Colloquium GRETSI, 2013. Keyword(s): graphs, wavelets, epidemic models. [bibtex-entry]



6. S. Roy, T. Begin, and P. Gonçalves. A Complete Framework for Modelling and Generating Workload Volatility of a VoD System. In IEEE Int. Wireless Communications and Mobile Computing Conference, July 2013. Keyword(s): networks, resource management, stochastic model, estimation. [bibtex-entry]



7. S. Roy, T. Begin, and P. Gonçalves. An MCMC Based Procedure for Parameter Estimation of a VoD Workload Model. In Proceedings of the 24th Colloquium GRETSI, 2013. Keyword(s): networks, resource management, stochastic model, estimation, MCMC. [bibtex-entry]

1. K. Avrachenkov, P. Gonçalves, A. Legout, and M. Sokol. Classification of Content and Users in BitTorrent by Semi-supervised Learning Methods. In International Wireless Communications and Mobile Computing Conference (3rd International Workshop on Traffic Analysis and Classification), Cyprus, August 2012. Note: Best paper award. Keyword(s): graph based semi-supervised learning, machine learning, networks,. [bibtex-entry]



2. K. Avrachenkov, P. Gonçalves, A. Mishenin, and M. Sokol. Generalized Optimization Framework for Graph-based Semi-supervised Learning. In SIAM Data Mining, 2012. Keyword(s): machine learning, networks, telecommunications, graph based semi-supervised learning. [bibtex-entry]



3. J.-B. Delavoix, S. Roy, T. Begin, and P. Gonçalves. Demonstrating a Versatile Model for VoD Buzz Workload in Large Scale Distributed Network. In 1st IEEE International Conference on Cloud Networking, Université Pierre et Marie Curie, Paris (France), November 2012. Note: Poster and demonstration. Keyword(s): networks, Grid5000, markov models. [bibtex-entry]



4. A.-C. Orgerie, P. Gonçalves, M. Davis, J. Ridoux, and D. Veitch. Distributed Simulation and Visualization of Unsteady Flows in a Transcontinental Context. In Supercomputing, Salt Lake City (US), Nov. 2012. Note: Poster. Keyword(s): metrology, networks, Grid5000. [bibtex-entry]



5. A.-C. Orgerie, P. Gonçalves, M. Imbert, J. Ridoux, and D. Veitch. Survey of network metrology platforms. In 12th IEEE/IPSJ International Symposium on 12th IEEE/IPSJ SAINT, 3rd Workshop on High Speed Network and Computing Environments, Izmir (Turkey), July 2012. Keyword(s): networks, metrology,. [bibtex-entry]

1. K. Avrachenkov, P. Gonçalves, A. Legout, and M. Sokol. Graph Based Classification of Content and Users in BitTorrent. In NIPS Conference, Big Learning Workshop, 2011. Keyword(s): machine learning, networks, telecommunications, services, graph based semi-supervised learning. [bibtex-entry]



2. O. Goga, P. Loiseau, and P. Gonçalves. On the Impact of the Flow-Size Distribution's Tail Index on Network Performance with TCP Connections. In ACM, editor, ACM, IFIP Performance Evaluation Review, October 2011. Keyword(s): networks, statistics, performance evaluation. [bibtex-entry]



3. G. Koslovski, S. Soudan, P. Gonçalves, and P. Vicat-Blanc. Locating Virtual Infrastructures: Users and InP Perspectives. In 12th IEEE/IFIP International Symposium on Integrated Network Management - Special Track on Management of Cloud Services and Infrastructure, Dublin (Ireland), May 2011. Keyword(s): networks, virtualization, infrastructures, Networks, virtualization, infrastructures. [bibtex-entry]

1. P. Abry, H. Helgason, P. Gonçalves, E. Pereira de Souza Neto, M. Doret, and C. Gharib. Multifractal analysis for in partum fetal-ECG diagnosis. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Dallas, TX (US), March 2010. Keyword(s): biomedical, multi-scale. [bibtex-entry]



2. P. Abry, H. Wendt, S. Jaffard, H. Helgason, P. Gonçalves, E. Pereira, Cl. Gharib, P. Gaucherand, and M. Doret. Methodology for Multifractal Analysis of Heart Rate Variability: From LF/HF Ratio to Wavelet Leaders. In 32nd Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), Sept. 2010. [WWW] Keyword(s): biomedical, multi-scale, statistics, biomedical, multi-scale, statistics. [bibtex-entry]



3. P. Gonçalves, X. Grandchamp, X. Pelorson, B. Raffin, A. Van Hirtum, P. Vicat-Blanc, K.-i Baba, J. Cisonni, Y. Ebara, K. Nozaki, H. Ohsaki, S. Wada, T. Kawamura, K. Koyamada, E. Sakane, N. Sakamoto, and S. Shimijo. Petaflow - a project towards information and communication technologies in society. In IEEE Int. Symposium on Applications and the Internet (SAINT), Seoul (Korea), pages 347-350, July 2010. Keyword(s): networks, metrology. [bibtex-entry]



4. O. Grémillet, P. Gonçalves, P. Vicat-Blanc, and A. Dupas. Traffic classification techniques supporting semantic networks. In 1st Int. Wireless Comm. and Mobile Comp. Conf., TRaffic Analysis and Classification W., Caen (France), Jun-jul 2010. Keyword(s): networks, statistics, metrology. [bibtex-entry]



5. P. Loiseau, P. Gonçalves, J. Barral, and P. Vicat-Blanc. Modeling TCP Throughput: an Elaborated Large-Deviations-Based Model and its Empirical Validation. In IFIP, Performance, Namur (Belgium), Nov. 2010. Keyword(s): networks, multi-scale, probability, large deviations. [bibtex-entry]

1. S. Baykut, P. Gonçalves, P.-H. Luppi, P. Abry, E. Pereira de Souza Neto, and D. Gervasoni. EMD-based analysis of rat EEG data for sleep state classification. In Biosignals, January 2009. Springer. [WWW] Keyword(s): biomedical, statistics. [bibtex-entry]



2. P. Loiseau, P. Gonçalves, S. Girard, F. Forbes, and P. Vicat-Blanc. Maximum Likelihood Estimation of the Flow Size Distribution Tail Index from Sampled Packet Data. In ACM Sigmetrics, June 2009. [WWW] Keyword(s): networks, metrology, statistics. [bibtex-entry]



3. P. Loiseau, P. Gonçalves, R. Guillier, M. Imbert, Y. Kodama, and P. Vicat-Blanc. Metroflux: A high performance system for analyzing flow at very fine-grain. In TridentCom, April 2009. [WWW] Keyword(s): networks, metrology. [bibtex-entry]

1. H. Carrão, P. Gonçalves, and M. Caetano. Land cover characterization through parametric modeling of intra-annual reflectance time series: a comparative study with MERIS data. In SPIE Europe Symposium on Remote Sensing, Firenze (Italy), Sept. 2007. Keyword(s): remote-sensing, statistics. [bibtex-entry]



2. P. Gonçalves, P. Abry, G. Rilling, and P. Flandrin. Fractal dimension estimation: empirical mode decomposition versus wavelets. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Honolulu, Hawaii (US), April 2007. [WWW] Keyword(s): time-frequency(scale), EMD, wavelets, multi-scale, statistics. [bibtex-entry]



3. P. Loiseau, P. Gonçalves, and P. Vicat-Blanc. A comparative study of different heavy tail index estimators of the flow size from sampled data. In MetroGrid Workshop, GridNets, Lyon, France, October 2007. ACM Press. Keyword(s): networks, statistics. [bibtex-entry]



4. G. Rilling, P. Flandrin, and P. Gonçalves. Une extension bivariée pour la Décomposition Modale Empirique: Application à des bruits blancs complexes. In Proceedings of the 21th Colloquium GRETSI, Troyes (France), September 2007. Keyword(s): time-frequency(scale), EMD. [bibtex-entry]

1. H. Carrão, M. Caetano, and P. Gonçalves. Meris based land cover characterization: a comparative study. In Proceedings of the ASPRS international conference, Reno (NV, US), May 2006. Keyword(s): remote-sensing, statistics. [bibtex-entry]



2. H. Carrão, P. Gonçalves, and M. Caetano. Use of intra-annual satellite imagery time-series for land cover characterization purpose. In Proceedings of the 26th EARSeL Symposium, Warsaw (Poland), 2006. [WWW] Keyword(s): remote-sensing, statistics. [bibtex-entry]



3. P. Gonçalves, H. Carrão, and M. Caetano. Parametric model for intra-annual reflectance time series. In Proceedings of the 26th EARSeL Symposium, Warsaw (Poland), 2006. [WWW] Keyword(s): remote-sensing, statistics. [bibtex-entry]



4. A. Pinheiro, P. Gonçalves, H. Carrão, and M. Caetano. A toolbox for multi-temporal analysis of satellite imagery. In Proceedings of the 26th EARSeL Symposium, Warsaw (Poland), 2006. Keyword(s): remote-sensing. [bibtex-entry]

1. P. Gonçalves, H. Carrão, A. Pinheiro, and M. Caetano. Land cover classification with Support Vector Machine applied to MODIS imagery. In Proceedings of the 25th EARSeL Symposium, Porto (Portugal), June 2005. [WWW] Keyword(s): remote sensing, statistics. [bibtex-entry]



2. P. Oliveira, P. Gonçalves, and M. Caetano. Land cover time profiles from linear mixture models applied to MODIS images. In Proceedings of the 31st International Symposium on Remote Sensing of Environment, St. Petersburg (Russian Federation), June 2005. [WWW] Keyword(s): remote sensing, statistics. [bibtex-entry]



3. R. Riedi and P. Gonçalves. Diverging Moments, Wavelets and non-parametric Tail Estimation. In Proceedings of Joint Statistical Meeting, Minneapolis (USA), August 2005. Keyword(s): multi-scale, statistics, probability. [bibtex-entry]



4. G. Rilling, P. Flandrin, and P. Gonçalves. Empirical Mode Decomposition, Fractional Gaussian Noise and Hurst Exponent Estimation. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Philadelphia (US), March 19--23 2005. [WWW] Keyword(s): time-frequency(scale), EMD, multi-scale, statistics, wavelets. [bibtex-entry]

1. J.-B. Durand, P. Gonçalves, and Y. Guédon. Arbres de Markov cachés : inférence et applications. In Proceedings of XXXVI èmes Journées de Statistique, Montpellier (France), May 2004. Keyword(s): wavelets, statistics. [bibtex-entry]



2. P. Flandrin, P. Gonçalves, and G. Rilling. Detrending and denoising with Empirical Mode Decompositions. In Proceedings of Eusipco, Wien (Austria), pages 1581-1584, September 2004. [WWW] Keyword(s): time-frequency(scale), EMD. [bibtex-entry]



3. J. Gosme, C. Richard, and P. Gonçalves. Anisotropic diffusion equations for adaptive quadratic representations. In Proceedings of Eusipco, Wien (Austria), September 2004. [WWW] Keyword(s): time-frequency(scale), PDE. [bibtex-entry]



4. J. Gosme, C. Richard, and P. Gonçalves. Diffusion Equations for Adaptive Affine Distributions. In Proceedings of Int. Conf. Acoustics Speech and Signal Processing, Montréal (Canada), 2004. [WWW] Keyword(s): time-frequency(scale), PDE. [bibtex-entry]

1. P. Flandrin and P. Gonçalves. Sur la décomposition modale empirique. In Proceedings of the 19th Colloquium GRETSI, Paris (France), 2003. [WWW] Keyword(s): time-frequency(scale), EMD. [bibtex-entry]



2. G. Rilling, P. Flandrin, and P. Gonçalves. On empirical mode decomposition and its algorithms. In Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP-03, Grado (Italy), June 2003. [WWW] Keyword(s): time-frequency(scale), EMD. [bibtex-entry]

1. J. Gosme, P. Gonçalves, C. Richard, and R. Lengellé. Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors. In Proc. XI European Signal Processing Conference, Toulouse (France), September 2002. [WWW] Keyword(s): time-frequency(scale), PDE, statistics. [bibtex-entry]

1. P. Gonçalves. Existence test of moments: Application to Multifractal Analysis. In Proceedings Int. Conf. on Telecommunications, Acapulco (Mexico), May 2000. Keyword(s): statistics, multi-scale, wavelets, probability. [bibtex-entry]

1. P. Gonçalves and R. Riedi. Wavelet Analysis of Fractional Brownian Motion in Multifractal Time. In Proceedings of the 17th Colloquium GRETSI, Vannes (France), September 1999. [WWW] Keyword(s): multi-scale, wavelets, statistics, probability. [bibtex-entry]

1. P. Gonçalves and E. Payot. Adaptive Diffusion Equation for Time Frequency Representations. In IEEE Digital Signal Processing Workshop, Utah (US), August 1998. [WWW] Keyword(s): time-frequency(scale), PDE. [bibtex-entry]



2. P. Gonçalves, R. Riedi, and R. Baraniuk. A Simple Statistical Analysis of Wavelet-based Multifractal Spectrum Estimation. In Proceedings of the 32nd Conference on Signals, Systems and Computers, Asilomar (US), November 1998. [WWW] Keyword(s): multi-scale, wavelets, statistics, probability. [bibtex-entry]

1. P. Gonçalves and P. Abry. Multiple Window Wavelet Transform and Local Scaling Estimation. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Munich (Germany), April 1997. [WWW] Keyword(s): multi-scale, wavelets, statistics. [bibtex-entry]



2. D. Johnson, P. Gonçalves, and R. Baraniuk. Improved Type-Based Detection of Analog Signals. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Munich (Germany), April 1997. [WWW] Keyword(s): statistics. [bibtex-entry]

1. P. Gonçalves and R. Baraniuk. Pseudo Affine Wigner Distributions. In IEEE, Int. Conf. on Acoust., Speech and Signal Proc., Atlanta (US), April 1996. Keyword(s): time-frequency(scale), wavelets. [bibtex-entry]



2. M. Pasquier, P. Gonçalves, and R. Baraniuk. Hybrid Linear/Bilinear Time-Scale Analysis. In 3rd IEEE Sig. process. Int. Symposium on Time-Frequency and Time-Scale Analysis, Paris (France), June 1996. Keyword(s): time-frequency(scale), wavelets. [bibtex-entry]

1. P. Flandrin and P. Gonçalves. Geometry of affine distributions. In IEEE, Int. Symp. Time- Frequency and Time-Scale Analysis, Philadelphia (US), pages 80-83, May 1994. Keyword(s): time-frequency(scale). [bibtex-entry]



2. P. Gonçalves and P. Flandrin. Distributions affines: de la géométrie des interférences à la localisation des distributions. In Proceedings of Colloque T.O.M,, INSA Lyon (France), March 1994. Keyword(s): time-frequency(scale). [bibtex-entry]

1. P. Abry, P. Gonçalves, and P. Flandrin. Wavelet-based spectral analysis of 1/f processes. In IEEE, Int. Conf. on Acoust., Speech and Signal Proc., Minneapolis (US), pages III.237-III.240, April 1993. [WWW] Keyword(s): multi-scale, wavelets, statistics. [bibtex-entry]



2. P. Gonçalves and P. Flandrin. Sur la localisation et la géométrie des distributions affines. In Proceeding of the 14th colloquium GRETSI, Juan-les-pins (France), pages 355-358, September 1993. Keyword(s): time-frequency(scale). [bibtex-entry]

1. P. Gonçalves and P. Flandrin. Bilinear time-scale analysis applied to local scaling exponents estimation. In Progress in Wavelet Analysis and Applications (Y. Meyer and S. Roques, eds.), Toulouse (France), pages 271-276, June 1992. Keyword(s): time-frequency(scale), wavelets, statistics, multi-scale. [bibtex-entry]



2. P. Gonçalves and P. Flandrin. Scaling exponents estimation from time-scale energy distributions. In IEEE, Int. Conf. on Acoust., Speech and Signal Proc., San Francisco (US), pages V.157-V.160, April 1992. [WWW] Keyword(s): time-frequency(scale), wavelets, statistics, multi-scale. [bibtex-entry]

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