Edgeworth series expansion of the conditional mean and the optimality of non-linear Volterra filters. - Pierre-Olivier Amblard; Daniel Baudois; Jean-Louis Lacoume (ICASSP, 1992)

A deductive construction of third-order time-frequency distributions. - Pierre-Olivier Amblard; Jean-Louis Lacoume (Signal Process., 1994)

Frequency domain Volterra filters in terms of distributions. - Pierre-Olivier Amblard; Eric Moisan (IEEE Signal Process. Lett., 1994)

Adaptive estimation of the fourth-order cumulant of a white stochastic process. - Pierre-Olivier Amblard; Jean-Marc Brossier (Signal Process., 1995)

Statistics for complex variables and signals - Part I: Variables. - Pierre-Olivier Amblard; M. Gaeta; Jean-Louis Lacoume (Signal Process., 1996)

Statistics for complex variables and signals - Part II: signals. - Pierre-Olivier Amblard; M. Gaeta; Jean-Louis Lacoume (Signal Process., 1996)

Combining an adapted wavelet analysis with fourth-order statistics for transient detection. - Philippe Ravier; Pierre-Olivier Amblard (Signal Process., 1998)

Revisiting the estimation of the mean using order statistics. - Steeve Zozor; Eric Moisan; Pierre-Olivier Amblard (Signal Process., 1998)

2-Dimensional stochastic resonance in a discrete time nonlinear system with a noisy elliptic input. - Steeve Zozor; Pierre-Olivier Amblard (NSIP, 1999)

Stochastic resonance in discrete time nonlinear AR(1) models. - Steeve Zozor; Pierre-Olivier Amblard (IEEE Trans. Signal Process., 1999)

Can stochastic resonance be used in detection? - Steeve Zozor; Pierre-Olivier Amblard (EUSIPCO, 2000)

Wavelet packets and de-noising based on higher-order-statistics for transient detection. - Philippe Ravier; Pierre-Olivier Amblard (Signal Process., 2001)

Erratum: Stochastic resonance in discrete time nonlinear AR(1) models. - Steeve Zozor; Pierre-Olivier Amblard (IEEE Trans. Signal Process., 2001)

Tracking of a Brownian phase with linear drift: Algorithms and performances. - Pierre-Olivier Amblard; Jean-Marc Brossier; Eric Moisan (EUSIPCO, 2002)

Self-adaptive PLL for general QAM constellations. - Jean-Marc Brossier; Pierre-Olivier Amblard; Benoit Geller (EUSIPCO, 2002)

Blind Equalization of a Nonlinear Satellite System Using MCMC Simulation Methods. - Stéphane Sénécal; Pierre-Olivier Amblard (EURASIP J. Adv. Signal Process., 2002)

On the use of stochastic resonance in sine detection. - Steeve Zozor; Pierre-Olivier Amblard (Signal Process., 2002)

Stochastic discrete scale invariance. - Pierre Borgnat; Patrick Flandrin; Pierre-Olivier Amblard (IEEE Signal Process. Lett., 2002)

Sequential Monte Carlo method for blind equalization of a nonlinear satellite communication channel. - Stéphane Sénécal; Pierre-Olivier Amblard; Laurent Cavazzana (ICASSP (6), 2003)

Phase tracking: what do we gain from optimality? Particle filtering versus phase-locked loops. - Pierre-Olivier Amblard; Jean-Marc Brossier; Eric Moisan (Signal Process., 2003)

Stochastic resonance in locally optimal detectors. - Steeve Zozor; Pierre-Olivier Amblard (IEEE Trans. Signal Process., 2003)

Particle Filtering Equalization Method for a Satellite Communication Channel. - Stéphane Sénécal; Pierre-Olivier Amblard; Laurent Cavazzana (EURASIP J. Adv. Signal Process., 2004)

Noise-aided processing: revisiting ditheringin a Sigma-Delta quantizer. - Steeve Zozor; Pierre-Olivier Amblard (IEEE Trans. Signal Process., 2005)

Networks of the Pooling Type and Optimal Quantization. - Pierre-Olivier Amblard; Steeve Zozor; Olivier J. J. Michel (ICASSP (3), 2006)

A Parametric Approach to Suboptimal Signal Detection in $ alpha$-Stable Noise. - Steeve Zozor; Jean-Marc Brossier; Pierre-Olivier Amblard (IEEE Trans. Signal Process., 2006)

Galton Watson Fractal Signals. - Geoffrey Decrouez; Pierre-Olivier Amblard; Jean-Marc Brossier; Owen D. Jones (ICASSP (3), 2007)

Multispectral imaging the sun in the ultraviolet. - Thierry Dudok De Wit; Saïd Moussaoui; Pierre-Olivier Amblard; Jean Aboudarham; Frederic Auchère; Matthieu Kretzschmar; Jean Lilensten (WHISPERS, 2009)

Measuring information flow in networks of stochastic processes - Pierre-Olivier Amblard; Olivier J. J. Michel (CoRR, 2009)

On multivariate fractional brownian motion and multivariate fractional Gaussian noise. - Jean-François Coeurjolly; Pierre-Olivier Amblard; Sophie Achard (EUSIPCO, 2010)

Communication of uncoded sensor measurements through nanoscale binary-node stochastic pooling networks. - Mark D. McDonnell; Nigel G. Stocks; Pierre-Olivier Amblard (Nano Commun. Networks, 2010)

On directed information theory and Granger causality graphs. - Pierre-Olivier Amblard; Olivier J. J. Michel (J. Comput. Neurosci., 2011)

Stationnarité relative et approches connexes. - Patrick Flandrin; Cédric Richard; Pierre-Olivier Amblard; Pierre Borgnat; Paul Honeine; Hassan Amoud; André Ferrari; Jun Xiao 002; Azadeh Moghtaderi; Pepa Ramírez-Cobo (Traitement du Signal, 2011)

Identification of the Multivariate Fractional Brownian Motion. - Pierre-Olivier Amblard; Jean-François Coeurjolly (IEEE Trans. Signal Process., 2011)

A Gaussian process regression approach for testing Granger causality between time series data. - Pierre-Olivier Amblard; Olivier J. J. Michel; Cédric Richard; Paul Honeine (ICASSP, 2012)

Kernelizing Geweke's measures of granger causality. - Pierre-Olivier Amblard; Rémy Vincent; Olivier J. J. Michel; Cédric Richard (MLSP, 2012)

On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence. - Pierre-Olivier Amblard; Jonathan H. Manton (ICASSP, 2013)

The Relation between Granger Causality and Directed Information Theory: A Review. - Pierre-Olivier Amblard; Olivier J. J. Michel (Entropy, 2013)

Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. - Salem Said; Pierre-Olivier Amblard; Jonathan H. Manton (IEEE Trans. Inf. Theory, 2013)

Granger causality for functional valued random processes. - Pierre-Olivier Amblard; Olivier J. J. Michel (ISITA, 2014)

Causal conditioning and instantaneous coupling in causality graphs. - Pierre-Olivier Amblard; Olivier J. J. Michel (Inf. Sci., 2014)

Operator-valued kernel recursive least squares algorithm. - Pierre-Olivier Amblard; Hachem Kadri (EUSIPCO, 2015)

Crossing-tree partition functions. - Geoffrey Decrouez; Pierre-Olivier Amblard (EUSIPCO, 2015)

Analysis of H-sssi processes using the crossing tree: An alternative to wavelets. - Geoffrey Decrouez; Pierre-Olivier Amblard (ICASSP, 2015)

A nonparametric efficient evaluation of partial directed coherence. - Pierre-Olivier Amblard (Biol. Cybern., 2015)

A Primer on Reproducing Kernel Hilbert Spaces. - Jonathan H. Manton; Pierre-Olivier Amblard (Found. Trends Signal Process., 2015)

Impact of noise correlation on multimodality. - Saloua Chlaily; Pierre-Olivier Amblard; Olivier J. J. Michel; Christian Jutten (EUSIPCO, 2016)

Multimodal Kalman filtering. - Anthony Bourrier; Pierre-Olivier Amblard; Olivier J. J. Michel; Christian Jutten (ICASSP, 2016)

Performance bounds for coupled models. - Chengfang Ren; Rodrigo Cabral Farias; Pierre-Olivier Amblard; Pierre Comon (SAM, 2016)

Graph sampling with determinantal processes. - Nicolas Tremblay; Pierre-Olivier Amblard; Simon Barthelmé (EUSIPCO, 2017)

Optimal Measurement Times for Observing a Brownian Motion over a Finite Period Using a Kalman Filter. - Alexandre Aksenov; Pierre-Olivier Amblard; Olivier J. J. Michel; Christian Jutten (LVA/ICA, 2017)

Experiments and Analysis for Fractional Order Modelling of an EEG Recording Process. - Guillaume Becq; Alina Voda; Gildas Besançon; Pierre-Olivier Amblard; Olivier J. J. Michel (ICINCO (1), 2017)

Echantillonnage de signaux sur graphes via des processus déterminantaux. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (CoRR, 2017)

Information-Estimation Relationship in Mismatched Gaussian Channels. - Saloua Chlaily; Chengfang Ren; Pierre-Olivier Amblard; Olivier J. J. Michel; Pierre Comon; Christian Jutten (IEEE Signal Process. Lett., 2017)

Compressed and Quantized Correlation Estimators. - Augusto Zebadua; Pierre-Olivier Amblard; Eric Moisan; Olivier J. J. Michel (IEEE Trans. Signal Process., 2017)

Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. - Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (SSP, 2018)

A Geometrical Study of the Bivariate Fractional Gaussian Noise. - Jeanne Lefevre; Nicolas Le Bihan; Pierre-Olivier Amblard (SSP, 2018)

Optimized Algorithms to Sample Determinantal Point Processes. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (CoRR, 2018)

Determinantal Point Processes for Coresets. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (J. Mach. Learn. Res., 2019)

Smoothing Graph Signals via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (ICASSP, 2020)

Monte Carlo integration of non-differentiable functions on [0, 1]ι, ι=1, ..., d, using a single determinantal point pattern defined on [0, 1]d. - Jean-François Coeurjolly; Adrien Mazoyer; Pierre-Olivier Amblard (CoRR, 2020)

Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (IEEE Trans. Signal Inf. Process. over Networks, 2021)

On the Behavior of MEMD in Presence of Multivariate Fractional Gaussian Noise. - Ali Komaty; Abdel-Ouahab Boudraa; Patrick Flandrin; Pierre-Olivier Amblard; Jacques-André Astolfi (IEEE Trans. Signal Process., 2021)

Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (EUSIPCO, 2022)

Gaussian Process Regression in the Flat Limit. - Simon Barthelmé; Pierre-Olivier Amblard; Nicolas Tremblay; Konstantin Usevich (CoRR, 2022)

A Faster Sampler for Discrete Determinantal Point Processes. - Simon Barthelmé; Nicolas Tremblay; Pierre-Olivier Amblard (AISTATS, 2023)

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. - Hugo Jaquard; Michaël Fanuel; Pierre-Olivier Amblard; Rémi Bardenet; Simon Barthelmé; Nicolas Tremblay (ICASSP, 2023)

Fusion of Distance Measurements Between Agents With Unknown Correlations. - Colin Cros; Pierre-Olivier Amblard; Christophe Prieur 001; Jean-François Da Rocha (IEEE Control. Syst. Lett., 2023)

The Geometric Phase of Bivariate Signals. - Nicolas Le Bihan; Julien Flamant; Pierre-Olivier Amblard (EUSIPCO, 2024)

Split Covariance Intersection with Correlated Components for Distributed Estimation. - Colin Cros; Pierre-Olivier Amblard; Christophe Prieur 001; Jean-François Da Rocha (FUSION, 2024)

Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. - Hugo Jaquard; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (CoRR, 2024)

Damped ellipse decomposition for bivariate signals. - Philippe Flores; Julien Flamant; Pierre-Olivier Amblard; Nicolas Le Bihan (SSP, 2025)

Pseudorange Rigidity and Solvability of Cooperative GNSS Positioning. - Colin Cros; Pierre-Olivier Amblard; Christophe Prieur 001; Jean-François Da Rocha (IEEE Trans. Control. Netw. Syst., 2025)

Revisiting Split Covariance Intersection: Correlated Components and Optimality. - Colin Cros; Pierre-Olivier Amblard; Christophe Prieur 001; Jean-François Da Rocha (IEEE Trans. Autom. Control., 2025)