Cédric Richard
Orcid: 0000-0003-2890-141X
According to our database1,
Cédric Richard
authored at least 239 papers
between 1997 and 2024.
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Bibliography
2024
Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing.
IEEE Trans. Intell. Transp. Syst., February, 2024
IEEE Trans. Circuits Syst. II Express Briefs, January, 2024
2023
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
IEEE Trans. Veh. Technol., June, 2023
IEEE Trans. Intell. Transp. Syst., March, 2023
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods.
IEEE Signal Process. Mag., March, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Proceedings of the IEEE International Conference on Signal Processing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis.
IEEE Trans. Signal Inf. Process. over Networks, 2022
Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2022
IEEE Signal Process. Lett., 2022
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image.
SIAM J. Imaging Sci., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
IEEE Trans. Computational Imaging, 2021
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs.
IEEE Signal Process. Lett., 2021
In Vitro and In Vivo Multispectral Photoacoustic Imaging for the Evaluation of Chromophore Concentration.
Sensors, 2021
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis.
IEEE Geosci. Remote. Sens. Lett., 2021
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process., 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
IEEE Trans. Signal Process., 2020
Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization.
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Inf. Process. over Networks, 2020
IEEE Trans. Signal Inf. Process. over Networks, 2020
A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing.
IEEE Trans. Image Process., 2020
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning.
IEEE Signal Process. Mag., 2020
IEEE Signal Process. Lett., 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Signal Inf. Process. over Networks, 2019
IEEE Signal Process. Lett., 2019
IEEE Signal Process. Lett., 2019
SIAM J. Imaging Sci., 2019
IEEE Geosci. Remote. Sens. Lett., 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Signal Process., 2018
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
IEEE Trans. Signal Process., 2017
Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem.
IEEE Trans. Image Process., 2017
IEEE Trans. Image Process., 2017
IEEE J. Sel. Top. Signal Process., 2017
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
CoRR, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
An adaptive distributed asynchronous algorithm with application to target localization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Inf. Process. over Networks, 2016
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images.
IEEE Trans. Image Process., 2016
Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach.
IEEE Trans. Geosci. Remote. Sens., 2016
IEEE Signal Process. Lett., 2016
Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning.
Signal Process., 2016
Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem.
CoRR, 2016
Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Toward privacy-preserving diffusion strategies for adaptation and learning over networks.
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
On-body TOA-based ranging error model for motion capture applications within wearable UWB networks.
J. Ambient Intell. Humaniz. Comput., 2015
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach.
CoRR, 2015
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
IEEE Trans. Signal Process., 2014
IEEE Trans. Image Process., 2014
Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ<sub>1</sub>-Norm Spatial Regularization.
IEEE Trans. Geosci. Remote. Sens., 2014
IEEE Signal Process. Mag., 2014
Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants.
IEEE Signal Process. Lett., 2014
Decentralized Positioning Algorithm for Relative Nodes Localization in Wireless Body Area Networks.
Mob. Networks Appl., 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model.
IEEE Trans. Signal Process., 2013
Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires.
Traitement du Signal, 2013
Multiclass classification machines with the complexity of a single binary classifier.
Signal Process., 2013
Non-negativity constraints on the pre-image for pattern recognition with kernel machines.
Pattern Recognit., 2013
Joint motion capture and navigation in heterogeneous Body Area Networks with distance estimation over neighborhood graph.
Proceedings of the 10th Workshop on Positioning, Navigation and Communication, 2013
Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm.
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
Wirel. Commun. Mob. Comput., 2012
Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks.
IEEE Trans. Veh. Technol., 2012
IEEE Trans. Signal Process., 2012
Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization.
IEEE Trans. Mob. Comput., 2012
IEEE Trans. Geosci. Remote. Sens., 2012
Int. J. Distributed Sens. Networks, 2012
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Hyperspectral image unmixing using manifold learning methods derivations and comparative tests.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 19th International Conference on Telecommunications, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
A Gaussian process regression approach for testing Granger causality between time series data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
Nodes updates censoring and scheduling in constrained decentralized positioning for large-scale motion capture based on wireless body area networks.
Proceedings of the 7th International Conference on Body Area Networks, 2012
Proceedings of the 7th International Conference on Body Area Networks, 2012
Proceedings of the American Control Conference, 2012
Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
Wirel. Networks, 2011
J. Signal Process. Syst., 2011
IEEE Trans. Veh. Technol., 2011
IEEE Trans. Aerosp. Electron. Syst., 2011
Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold.
Pattern Recognit. Lett., 2011
Int. J. Syst. Sci., 2011
Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors.
IET Wirel. Sens. Syst., 2011
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011
Quantized variational filtering for target tracking and relay localization in sensor networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis.
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011
Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
IEEE Trans. Signal Process., 2010
IEEE Trans. Mob. Comput., 2010
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw., 2010
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
A Sensor Selection Method for Target Tracking in Wireless Sensor Networks Using Quantized Variational Filtering.
Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010
A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the Global Communications Conference, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
2009
IEEE Trans. Signal Process., 2009
IEEE Trans. Signal Process., 2009
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Functional estimation in Hilbert space for distributed learning in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
IEEE Trans. Signal Process., 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008
Variational Filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks.
Int. J. Sens. Networks, 2007
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
Optimal Feature Representation for Kernel Machines using Kernel-Target Alignment Criterion.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG.
IEEE Trans. Signal Process., 2006
Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006
A greedy algorithm for optimizing the kernel alignment and the performance of kernel machines.
Proceedings of the 14th European Signal Processing Conference, 2006
Incorporating prior information into Support Vector Machines in the form of ellipsoidal knowledge sets.
Proceedings of the 14th European Signal Processing Conference, 2006
2005
Adaptive diffusion as a versatile tool for time-frequency and time-scale representations processing: a review.
IEEE Trans. Signal Process., 2005
Beyond standard classes of generalized joint signal representations of arbitrary variables: Mercer kernel-based representations.
IEEE Signal Process. Lett., 2005
Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
IEEE Trans. Signal Process., 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions.
IEEE Trans. Signal Process., 2002
IEEE Signal Process. Lett., 2002
Classification en temps-fréquence à partir de données expertisées - Application à la détection des complexes-K.
Proceedings of the Extraction et gestion des connaissances (EGC'2002), 2002
Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors.
Proceedings of the 11th European Signal Processing Conference, 2002
Proceedings of the 11th European Signal Processing Conference, 2002
2001
IEEE Trans. Signal Process., 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals.
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Signal Process., 1999
1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
1997
Joint recursive implementation of time - frequency representations and their modified version by the reassignment method.
Signal Process., 1997