2012 - IEEE Fellow For contributions to the theory and applications of fractal and multifractal analysis in signal and image processing
His primary scientific interests are in Wavelet, Wavelet transform, Multifractal system, Algorithm and Scaling. The various areas that Patrice Abry examines in his Wavelet study include Scale, Hurst exponent, Self-similarity, Estimator and Mathematical optimization. The study incorporates disciplines such as Estimation theory and Fractal in addition to Wavelet transform.
His study in Estimation theory is interdisciplinary in nature, drawing from both Gaussian and Data mining. Patrice Abry has researched Multifractal system in several fields, including Image processing, Stochastic process, Statistical physics and Bootstrapping. His study focuses on the intersection of Algorithm and fields such as Calculus with connections in the field of Filter bank.
His scientific interests lie mostly in Wavelet, Multifractal system, Statistical physics, Artificial intelligence and Wavelet transform. His studies deal with areas such as Fractal, Mathematical analysis, Estimator, Applied mathematics and Algorithm as well as Wavelet. His Estimator study combines topics from a wide range of disciplines, such as Estimation theory, Covariance and Hurst exponent.
Patrice Abry focuses mostly in the field of Multifractal system, narrowing it down to matters related to Bayes estimator and, in some cases, Bayesian inference. His Statistical physics study incorporates themes from Stochastic process, Gaussian, Scaling and Combinatorics. His research investigates the connection between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Signal processing.
His primary areas of study are Wavelet, Multifractal system, Multivariate statistics, Artificial intelligence and Statistical physics. Patrice Abry works in the field of Wavelet, focusing on Wavelet transform in particular. His Multifractal system research also works with subjects such as
His Multivariate statistics research is multidisciplinary, incorporating elements of Stochastic process, Bivariate analysis, Monte Carlo method and Hurst exponent. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. His Statistical physics research incorporates themes from Scale, Cumulant, Combinatorics, Gravitational singularity and Scaling.
Patrice Abry focuses on Wavelet, Multifractal system, Statistical physics, Estimator and Artificial intelligence. Many of his studies on Wavelet involve topics that are commonly interrelated, such as Image processing. His work carried out in the field of Multifractal system brings together such families of science as Heart failure, Multivariate statistics, Bayesian probability, Legendre transformation and Calculus.
His Statistical physics study combines topics in areas such as Pointwise, Fractal and Gravitational singularity. His research integrates issues of Fractional Brownian motion, Matrix and Applied mathematics in his study of Estimator. His Artificial intelligence research integrates issues from Heart rate variability, Machine learning, Physiological control and Pattern recognition.
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Wavelet analysis of long-range-dependent traffic
P. Abry;D. Veitch.
IEEE Transactions on Information Theory (1998)
A wavelet-based joint estimator of the parameters of long-range dependence
D. Veitch;P. Abry.
IEEE Transactions on Information Theory (1999)
Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data
P. Abry;P. Flandrin;M. S. Taqqu;D. Veitch.
Multiscale nature of network traffic
P. Abry;R. Baraniuk;P. Flandrin;R. Riedi.
IEEE Signal Processing Magazine (2002)
The Wavelet-Based Synthesis for Fractional Brownian Motion Proposed by F. Sellan and Y. Meyer: Remarks and Fast Implementation
Patrice Abry;Fabrice Sellan.
Applied and Computational Harmonic Analysis (1996)
SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE
Pierre Borgnat;Céline Robardet;Jean-Baptiste Rouquier;Patrice Abry.
Advances in Complex Systems (2011)
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Romain Fontugne;Pierre Borgnat;Patrice Abry;Kensuke Fukuda.
conference on emerging network experiment and technology (2010)
Seven Years and One Day: Sketching the Evolution of Internet Traffic
P. Borgnat;G. Dewaele;K. Fukuda;P. Abry.
international conference on computer communications (2009)
Bootstrap for Empirical Multifractal Analysis
H. Wendt;P. Abry;S. Jaffard.
IEEE Signal Processing Magazine (2007)
Wavelets, spectrum analysis and 1/f processes
Patrice Abry;Paulo Gonçalvès;Patrick Flandrin.
Profile was last updated on December 6th, 2021.
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