Philippe Ravier

Orcid: 0000-0002-0925-6905

According to our database1, Philippe Ravier authored at least 88 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparison of the Accuracy of Ground Reaction Force Component Estimation between Supervised Machine Learning and Deep Learning Methods Using Pressure Insoles.
Sensors, August, 2024

Impact of PCA Pre-Normalization Methods on Ground Reaction Force Estimation Accuracy.
Sensors, February, 2024

Tensor decomposition meets blind source separation.
Signal Process., 2024

Relevant Multi Domain Features Selection Based on Mutual Information for Heart Sound Classification.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Performance Evaluation of the Electrical Appliances Identification System Using the PLAID Database in Independent Mode of House.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Surface EMG Signal Segmentation and Classification for Parkinson's Disease Based on HMM Modelling.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Tensorial Convolutive Blind Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Joint INDSCAL Decomposition Meets Blind Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Feature selection algorithms highlight the importance of the systolic segment for normal/murmur PCG beat classification.
Biomed. Signal Process. Control., September, 2023

Data Augmentation Strategies for High-Frequency NILM Datasets.
IEEE Trans. Instrum. Meas., 2023

A Novel Tensor Tracking Algorithm for Block-Term Decomposition of Streaming Tensors.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Rankformer: Leveraging Rank Correlation for Transformer-based Time Series Forecasting.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Improving of the interpretation of linear filtering preprocessing-based multiscale permutation entropy.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

STLformer: Exploit STL Decomposition and Rank Correlation for Time Series Forecasting.
Proceedings of the 31st European Signal Processing Conference, 2023

After-Fatigue Condition: A Novel Analysis Based on Surface EMG Signals.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
On the Genuine Relevance of the Data-Driven Signal Decomposition-Based Multiscale Permutation Entropy.
Entropy, 2022

LSTM Network based on Prosodic Features for the Classification of Injunction in French Oral Utterances.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Are Deep Learning Models Practically Good as Promised? A Strategic Comparison of Deep Learning Models for Time Series Forecasting.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
On the optimal number estimation of selected features using joint histogram based mutual information for speech emotion recognition.
J. King Saud Univ. Comput. Inf. Sci., 2021

The Refined Composite Downsampling Permutation Entropy Is a Relevant Tool in the Muscle Fatigue Study Using sEMG Signals.
Entropy, 2021

The Impact of Linear Filter Preprocessing in the Interpretation of Permutation Entropy.
Entropy, 2021

Improvement of Statistical Performance of Ordinal Multiscale Entropy Techniques Using Refined Composite Downsampling Permutation Entropy.
Entropy, 2021

Discrete Wavelet based Features for PCG Signal Classification using Hidden Markov Models.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Surface EMG Signal Classification for Parkinson's Disease using WCC Descriptor and ANN Classifier.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020
Relevant harmonics selection based on mutual information for electrical appliances identification.
Int. J. Comput. Appl. Technol., 2020

Automatic Classification of French Spontaneous Oral Speech into Injunction and No-injunction Classes.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

On the Deterministic Estimaton of Multiscale Permutation Entropy of High-Order Autoregressive-Moving-Average Processes as a Function of ARMA Parameters.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Improved order-statistics-based noise power estimator.
Signal Process., 2019

Mutual Information Based Feature Selection for Fingerprint Identification.
Informatica (Slovenia), 2019

On the Statistical Properties of Multiscale Permutation Entropy: Characterization of the Estimator's Variance.
Entropy, 2019

Extraction and selection of statistical harmonics features for electrical appliances identification using k-NN classifier combined with voting rules method.
Turkish J. Electr. Eng. Comput. Sci., 2019

Multiscale Permutation Entropy: Statistical Characterization on Autoregressive and Moving Average Processes.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Bearing Signal Enhancement Using Taylor-H<sub>∞</sub> Estimator Under Variable Speed Condition.
IEEE Trans. Instrum. Meas., 2018

A binning formula of bi-histogram for joint entropy estimation using mean square error minimization.
Pattern Recognit. Lett., 2018

Use of cardiorespiratory coherence to separate spectral bands of the heart rate variability.
Biomed. Signal Process. Control., 2018

On The Statistical Properties Of The Generalized Discrete Teager-Kaiser Energy Operator Applied To Uniformly Distributed Random Signals.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Wavelet Cepstral Coefficients for Electrical Appliances Identification using Hidden Markov Models.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Theoretical Study of Multiscale Permutation Entropy on Finite-Length Fractional Gaussian Noise.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Minimum error rate detection: An adaptive bayesian approach.
Signal Process., 2017

Extraction and selection of binarised statistical image features for fingerprint recognition.
Int. J. Biom., 2017

Electrical Appliances Identification and Clustering using Novel Turn-on Transient Features.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Local and Global Feature Selection for Prosodic Classification of the Word's Uses.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

An Effective Time Varying Delay Estimator Applied to Surface Electromyographic Signals.
Proceedings of the Context-Aware Systems and Applications, 2017

High accuracy event detection for Non-Intrusive Load Monitoring.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

H∞ estimator for gearbox diagnosis in variable speed conditions.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
COOLL: Controlled On/Off Loads Library, a Public Dataset of High-Sampled Electrical Signals for Appliance Identification.
CoRR, 2016

Detection of PVC in ECG signals using fractional linear prediction.
Biomed. Signal Process. Control., 2016

HMM-based Transient and Steady-state Current Signals Modeling for Electrical Appliances Identification.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Muscular activation intervals detection using gaussian mixture model GMM applied to sEMG signals.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

Characterizing Parkinson's desease using EMG fractional linear prediction.
Proceedings of the 24th European Signal Processing Conference, 2016

Detection of sEMG muscle activation intervals using Gaussian Mixture Model and Ant Colony Classifier.
Proceedings of the 24th European Signal Processing Conference, 2016

On the impact of signals time-frequency sparsity on the localization performance.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Legendre polynomial modeling of time-varying delay applied to surface EMG signals - Derivation of the appropriate time-dependent CRBs.
Signal Process., 2015

Time-varying delay estimators for measuring muscle fiber conduction velocity from the surface electromyogram.
Biomed. Signal Process. Control., 2015

Signal Side Information Impact on the Statistical Resolution Limit.
Proceedings of the WSA 2015, 2015

Prosody based Automatic Classification of the Uses of French ‘Oui' as Convinced or Unconvinced Uses.
Proceedings of the ICPRAM 2015, 2015

Modeling and estimation of transient current signals.
Proceedings of the 23rd European Signal Processing Conference, 2015

Cramér-Rao bounds for particle size distribution estimation from multiangle dynamic light scattering.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Adaptive Constant Modulus Algorithm based oncomplex Givens rotations.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Sparsity-based algorithms for blind separation of convolutive mixtures with application to EMG signals.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

An improved Bayesian inversion method for the estimation of multimodal particle size distributions using multiangle Dynamic Light Scattering measurements.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

On the Bin Number Choice of Joint Histogram Estimation Applied to Mutual Information based Face Recognition.
Proceedings of the ICPRAM 2014, 2014

Informed separation of dependent sources using joint matrix decomposition.
Proceedings of the 22nd European Signal Processing Conference, 2014

A reversible jump MCMC algorithm for Particle Size inversion in Multiangle Dynamic Light Scattering.
Proceedings of the 22nd European Signal Processing Conference, 2014

A new cyclostationarity-based blind approach for motor unit's firing rate automated detection in electromyographic signals.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
A new histogram-based estimation technique of entropy and mutual information using mean squared error minimization.
Comput. Electr. Eng., 2013

A generating model of realistic synthetic heart sounds for performance assessment of phonocardiogram processing algorithms.
Biomed. Signal Process. Control., 2013

HRV spectral estimation based on constrained Gaussian modeling in the nonstationary case.
Biomed. Signal Process. Control., 2013

A new methodology for optimal delay detection in mobile localization context.
Proceedings of the IEEE International Conference on Acoustics, 2013

Cyclostationary analysis of electromyographic signals.
Proceedings of the 21st European Signal Processing Conference, 2013

Theoretical insights into the Phase Rectified Averaging method and application to HRV analysis.
Proceedings of the 21st European Signal Processing Conference, 2013

Sliding window adaptive Constant Modulus Algorithm based on complex Hyperbolic Givens rotations.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Low bias histogram-based estimation of mutual information for feature selection.
Pattern Recognit. Lett., 2012

2011
GPS/Galileo Multipath Mitigation Using the First Side Peak of Double Delta Correlator.
Wirel. Pers. Commun., 2011

A New Concept of Virtual Patient for Real-Time ECG Analyzers.
IEEE Trans. Instrum. Meas., 2011

On the separation of heart sound components using a translated empirical mode decomposition.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Do the generalized correlation methods improve time delay estimation of the muscle fiber conduction velocity?
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010
Arrhythmias classification using the fractal behavior of the power spectrum density of the QRS complex and ANN.
Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

Phase-rectified signal averaging method applied to heart rate variability signals for assessment of the changes in sympathovagal balance during rest and tilt.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Improving the Power Line Communication Signal-to-Noise Ratio During a Resistive Load Commutation.
J. Commun., 2009

2008
Time-varying delay estimation with application to electromyography.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Redefining Performance Evaluation Tools for Real-Time QRS Complex Classification Systems.
IEEE Trans. Biomed. Eng., 2007

Data preprocessing for decametre wavelength exoplanet detection: An example of cyclostationary RFI detector.
Proceedings of the 15th European Signal Processing Conference, 2007

Comparison of three time-varying delay estimators with application to electromyography.
Proceedings of the 15th European Signal Processing Conference, 2007

2005
Robust mean estimation for real-time blanking in radioastronomy.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Robust detection of QRS complex using klauder wavelets.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2001
Wavelet packets and de-noising based on higher-order-statistics for transient detection.
Signal Process., 2001

1998
Combining an adapted wavelet analysis with fourth-order statistics for transient detection.
Signal Process., 1998


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