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Eric J. Grivel
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2020 – today
- 2024
[j39]Éric Grivel
, Bastien Berthelot, Gaetan Colin, Pierrick Legrand, Vincent Ibanez:
Benefits of Zero-Phase or Linear Phase Filters to Design Multiscale Entropy: Theory and Application. Entropy 26(4): 332 (2024)- 2023
- [j38]Éric Grivel, Gaetan Colin, Jérémie Soetens, Pierrick Legrand:
Combining the global trends of DFA or CDFA of different orders. Digit. Signal Process. 134: 103906 (2023) - [j37]Satwika Bhogavalli, K. V. S. Hari, Éric Grivel, Vincent Corretja:
Estimating the target DOA, range and velocity using subspace methods in a MIMO OFDM DFRC system. Signal Process. 209: 109007 (2023) - [c81]Éric Grivel, Matéo Burgos, Dorota Stadnicka, Gualtiero Fantoni:
Sharing our experience of the ASSETs+ European Defence Challenge from the design to the implementation. EDUCON 2023: 1-7 - [c80]Éric Grivel, Baptiste Pesquet, Tudor-Bogdan Airimitoaie, Akka Zemmari:
Artificial Intelligence for Defence in an EQF6 Training and Education Program, from the Design to the Execution. EDUCON 2023: 1-5 - [c79]Eric J. Grivel, Bastien Berthelot, Pierrick Legrand, Gaetan Colin:
Null or Linear-Phase Filters for the Derivation of a New Variant of the MSE. EUSIPCO 2023: 1768-1772 - [c78]Satwika Bhogavalli, Éric Grivel, K. V. S. Hari, Vincent Corretja:
Waveform Design to Improve the Estimation of Target Parameters Using the Fourier Transform Method in a MIMO OFDM DFRC System. ICASSP 2023: 1-5 - 2022
- [j36]Éric Grivel, Bastien Berthelot, Pierrick Legrand:
A matrix approach to get the variance of the square of the fluctuation function of the DFA. Digit. Signal Process. 122: 103346 (2022) - [j35]Éric Grivel:
Analysis of families of divergences to compare Gaussian processes modeled by sums of complex exponentials disturbed by additive white noises. Digit. Signal Process. 123: 103436 (2022) - [c77]Éric Grivel:
Studying Three Families of Divergences to Compare Wide-Sense Stationary Gaussian Arma Processes. ICASSP 2022: 5992-5996 - 2021
- [j34]Bastien Berthelot, Éric Grivel, Pierrick Legrand, Jean-Marc André, Patrick Mazoyer:
Alternative ways to compare the detrended fluctuation analysis and its variants. Application to visual tunneling detection. Digit. Signal Process. 108: 102865 (2021) - [j33]Mahdi Saleh, Samir-Mohamad Omar, Éric Grivel, Pierrick Legrand:
A variable chirp rate stepped frequency linear frequency modulation waveform designed to approximate wideband non-linear radar waveforms. Digit. Signal Process. 109: 102884 (2021) - [j32]Eric J. Grivel, Roberto Diversi, Fernando Merchan:
Kullback-Leibler and Rényi divergence rate for Gaussian stationary ARMA processes comparison. Digit. Signal Process. 116: 103089 (2021) - [j31]Eric J. Grivel, Bastien Berthelot, Pierrick Legrand, Audrey Giremus:
DFA-based abacuses providing the Hurst exponent estimate for short-memory processes. Digit. Signal Process. 116: 103102 (2021) - [c76]Éric Grivel:
Chernoff, Bhattacharyya, Rényi and Sharma-Mittal Divergence Analysis for Gaussian Stationary ARMA Processes. GSI 2021: 487-495 - [c75]Bastien Berthelot, Éric Grivel, Pierrick Legrand:
New Variants of DFA Based on Loess and Lowess Methods: Generalization of the Detrending Moving Average. ICASSP 2021: 5140-5144 - 2020
- [c74]Bastien Berthelot, Éric Grivel, Pierrick Legrand, Jean-Marc André, Patrick Mazoyer:
Regularized DFA to study the gaze position of an airline pilot. EUSIPCO 2020: 2403-2407 - [c73]Jimmy Bondu, Éric Grivel, Audrey Giremus, Pierrick Legrand, Vincent Corretja, Marie Pommier:
Sea Target Classification Based on An A Priori Motion Model. EUSIPCO 2020: 2478-2482
2010 – 2019
- 2019
- [j30]Mahdi Saleh, Samir-Mohamad Omar, Éric Grivel, Oussama Bazzi:
A modified stepped frequency phase coding radar waveform designed for the frequency domain algorithm. Digit. Signal Process. 88: 101-115 (2019) - [c72]Bastien Berthelot, Éric Grivel, Pierrick Legrand, Jean-Marc André, Patrick Mazoyer, Thierry Ferreira:
Filtering-based Analysis Comparing the DFA with the CDFA for Wide Sense Stationary Processes. EUSIPCO 2019: 1-5 - [c71]Bastien Berthelot, Éric Grivel, Pierrick Legrand, Marc Donias, Jean-Marc André, Patrick Mazoyer, Thierry Ferreira:
2D Fourier Transform Based Analysis Comparing the DFA with the DMA. EUSIPCO 2019: 1-5 - [c70]Éric Grivel:
Properties of the Cross Entropy Between ARMA Processes. GSI 2019: 377-386 - [c69]Estelle Blons, Éric Grivel, Véronique Deschodt-Arsac, Véronique Lespinet-Najib:
Asymptotic Kullback-Leibler Increment to Characterize Experiment-induced Stress. ICASSP 2019: 5147-5151 - [c68]Fernando Merchan, Héctor Poveda, Éric Grivel:
Collaboration between Bordeaux-inp and Utp, from Research to Education, in the Field of Signal Processing. ICASSP 2019: 7645-7649 - 2018
- [j29]Éric Grivel, Mahdi Saleh, Samir-Mohamad Omar:
Interpreting the asymptotic increment of Jeffrey's divergence between some random processes. Digit. Signal Process. 75: 120-133 (2018) - [j28]Mahdi Saleh, Éric Grivel, Samir-Mohamad Omar:
Jeffrey's divergence between ARFIMA processes. Digit. Signal Process. 82: 175-186 (2018) - [j27]Leo Legrand, Éric Grivel:
Jeffrey's divergence between autoregressive processes disturbed by additive white noises. Signal Process. 149: 162-178 (2018) - [c67]Sabrina Machhour, Éric Grivel, Pierrick Legrand, Vincent Corretja, Clement Magnant:
A Comparative Study of Orthogonal Moments for Micro-Doppler Classification. EUSIPCO 2018: 366-370 - [c66]Leo Legrand, Audrey Giremus, Éric Grivel, Laurent Ratton, Bernard Joseph, Clement Magnant:
A Hierarchical LMB/PHD Filter for Multiple Groups of Targets with Coordinated Motions. FUSION 2018: 1-8 - [c65]Leo Legrand, Audrey Giremus, Éric Grivel, Laurent Ratton, Bernard Joseph:
Generative Model and Associated Metric for Coordinated-Motion Target Groups. ICASSP 2018: 3984-3988 - [c64]Mahdi Saleh, Éric Grivel, Samir-Mohamad Omar:
Jeffrey's Divergence Between Fractionally Integrated White Noises. SSP 2018: 139-143 - [c63]Fernando Merchan, Éric Grivel, Roberto Diversi:
Rényi Divergence to Compare Moving-Average Processes. SSP 2018: 149-153 - 2017
- [j26]Leo Legrand, Éric Grivel:
Jeffrey's divergence between moving-average models that are real or complex, noise-free or disturbed by additive white noises. Signal Process. 131: 350-363 (2017) - [c62]Leo Legrand, Éric Grivel, Audrey Giremus:
Jeffrey's divergence between autoregressive moving-average processes. EUSIPCO 2017: 1085-1089 - [c61]Éric Grivel, Mahdi Saleh, Samir-Mohamad Omar:
Comparing a complex-valued sinusoidal process with an autoregressive process using Jeffrey's divergence. EUSIPCO 2017: 1120-1124 - [c60]Éric Grivel, Mahdi Saleh, Samir-Mohamad Omar:
Jeffrey's divergence between complex-valued sinusoidal processes. EUSIPCO 2017: 1659-1663 - [c59]Éric Grivel, Susan Medina, Francine Krief, Jean-Rémy Falleri, Guillaume Ferré, Laurent Réveillère, Daniel Négru:
Telecom showcase: An exhibition of ole technology useful for students and teachers. EUSIPCO 2017: 2373-2377 - [c58]Éric Grivel, Leo Legrand:
Process Comparison Combining Signal Power Ratio and Jeffrey's Divergence Between Unit-Power Signals. GSI 2017: 532-540 - [c57]Leo Legrand, Éric Grivel:
Jeffrey's divergence between moving-average and autoregressive models. ICASSP 2017: 4291-4295 - [c56]Leo Legrand, Audrey Giremus, Éric Grivel, Laurent Ratton, Bernard Joseph:
Bernoulli filter based algorithm for joint target tracking and classification in a cluttered environment. ICASSP 2017: 4396-4400 - 2016
- [j25]Clément Magnant, Audrey Giremus, Éric Grivel, Laurent Ratton, Bernard Joseph:
Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking. Signal Process. 127: 135-150 (2016) - [c55]Leo Legrand, Éric Grivel:
Evaluating dissimilarities between two moving-average models: A comparative study between Jeffrey's divergence and Rao distance. EUSIPCO 2016: 205-209 - 2015
- [j24]Hector Poveda, Guillaume Ferré, Éric Grivel:
Way to design an orthogonal frequency-division multiple access-base station receiver disturbed by a narrowband interfering cognitive radio signal. IET Commun. 9(12): 1547-1554 (2015) - [j23]Clement Magnant, Éric Grivel, Audrey Giremus, Bernard Joseph, Laurent Ratton:
Jeffrey's divergence for state-space model comparison. Signal Process. 114: 61-74 (2015) - [j22]Ahmed Abdou, Flavius Turcu, Éric Grivel, Roberto Diversi, Guillaume Ferré:
Identifying an autoregressive process disturbed by a moving-average noise using inner-outer factorization. Signal Image Video Process. 9(Supplement-1): 235-244 (2015) - [j21]Clement Magnant, Audrey Giremus, Éric Grivel:
On Computing Jeffrey's Divergence Between Time-Varying Autoregressive Models. IEEE Signal Process. Lett. 22(7): 915-919 (2015) - [j20]Mouna Ben Mabrouk, Guillaume Ferré, Éric Grivel, Nathalie Deltimple:
Interacting Multiple Model Based Detector to Compensate Power Amplifier Distortions in Cognitive Radio. IEEE Trans. Commun. 63(5): 1580-1593 (2015) - [c54]Abdelhakim Youcef, Roberto Diversi, Éric Grivel:
Errors-in-variables identification of noisy moving average models. EUSIPCO 2015: 968-972 - [c53]Clement Magnant, Éric Grivel, Audrey Giremus, Laurent Ratton, Bernard Joseph:
Classifying autoregressive models using dissimilarity measures: A comparative study. EUSIPCO 2015: 998-1002 - [c52]Mouna Ben Mabrouk, Éric Grivel, Clement Magnant, Guillaume Ferré, Nathalie Deltimple:
Compensating power amplifier distortion in cognitive radio systems with adaptive interacting multiple model. EUSIPCO 2015: 1212-1216 - [c51]Jean-Rémy Falleri, Éric Grivel, Laurent Réveillère:
What can industrial partnerships bring in to small-group projects to teach signal and image processing? EUSIPCO 2015: 1786-1790 - [c50]Clement Magnant, Audrey Giremus, Éric Grivel, Laurent Ratton, Bernard Joseph:
Dirichlet-process-mixture-based Bayesian nonparametric method for Markov switching process estimation. EUSIPCO 2015: 1969-1973 - [c49]Clement Magnant, Audrey Giremus, Éric Grivel, Laurent Ratton, Bernard Joseph:
Joint tracking and classification based on kinematic and target extent measurements. FUSION 2015: 1748-1755 - [c48]Bryce Minger, Guillaume Ferré, Dominique Dallet, Éric Grivel, Loïc Fuché:
An improved spectral approach to estimate the integral non-linearity of analog-to-digital converters. I2MTC 2015: 1129-1134 - [c47]Timothee Rouffet, Éric Grivel, Pascal Vallet, Cyrille Enderli, Stéphane Kemkemian:
Combining two phase codes to extend the radar unambiguous range and get a trade-off in terms of performance for any clutter. ICASSP 2015: 1822-1826 - [c46]Mouna Ben Mabrouk, Guillaume Ferré, Éric Grivel, Nathalie Deltimple:
A new baseband post-distortion technique for power amplifiers in OFDM-based cognitive radio systems. ISCAS 2015: 1486-1489 - 2014
- [c45]Vincent Pereira, Guillaume Ferré, Audrey Giremus, Éric Grivel:
Relevance of Dirichlet process mixtures for modeling interferences in underlay cognitive radio. EUSIPCO 2014: 176-180 - [c44]Hiroshi Ijima, Roberto Diversi, Eric J. Grivel:
Iterative approach to estimate the parameters of a TVAR process corrupted by a MA noise. EUSIPCO 2014: 456-460 - 2013
- [j19]Vincent Corretja, Éric Grivel, Yannick Berthoumieu, Jean-Michel Quellec, Thierry Sfez, Stéphane Kemkemian:
Enhanced Cohen class time-frequency methods based on a structure tensor analysis: Applications to ISAR processing. Signal Process. 93(7): 1813-1830 (2013) - [j18]Hector Poveda, Guillaume Ferré, Éric Grivel:
A Non-Pilot Aided Iterative Carrier Frequency Offset Estimator Using Optimal Filtering for an Interleaved OFDMA Uplink System. Wirel. Pers. Commun. 68(3): 747-767 (2013) - [c43]Ahmed Abdou, Guillaume Ferré, Éric Grivel, Mohamed Najim:
Interference cancellation in multiuser hybrid overlay cognitive radio. EUSIPCO 2013: 1-5 - [c42]Clement Magnant, Audrey Giremus, Éric Grivel:
Jeffreys divergence between state models: Application to target tracking using multiple models. EUSIPCO 2013: 1-5 - [c41]Roberto Diversi, Hiroshi Ijima, Éric Grivel:
Prediction error method to estimate the ar parameters when the AR process is disturbed by a colored noise. ICASSP 2013: 6143-6147 - [c40]Vincent Pereira, Audrey Giremus, Asma Rabaoui, Éric Grivel:
Online EM estimation of the Dirichlet process mixtures scale parameter to model the GPS multipath error. ICASSP 2013: 6625-6629 - 2012
- [j17]Hiroshi Ijima, Éric Grivel:
Deterministic regression methods for unbiased estimation of time-varying autoregressive parameters from noisy observations. Signal Process. 92(4): 857-871 (2012) - [j16]Zoé Sigrist, Éric Grivel, Benoît Alcoverro:
Estimating second-order Volterra system parameters from noisy measurements based on an LMS variant or an errors-in-variables method. Signal Process. 92(4): 1010-1020 (2012) - [j15]Vincent Pereira, Audrey Giremus, Éric Grivel:
Modeling of Multipath Environment Using Copulas for Particle Filtering Based GPS Navigation. IEEE Signal Process. Lett. 19(6): 360-363 (2012) - [c39]Hector Poveda, Éric Grivel, Guillaume Ferré, Nikolai D. Christov:
Kalman vs H∞ filter in terms of convergence and accuracy: Application to carrier frequency offset estimation. EUSIPCO 2012: 121-125 - [c38]Vincent Pereira, Audrey Giremus, Éric Grivel:
A Boltzmann machine to model the multipath environment for particle filtering based GPS navigation. EUSIPCO 2012: 185-189 - [c37]Zoé Sigrist, Pierrick Legrand, Éric Grivel, Benoît Alcoverro:
Considering the measurement noise for a nonlinear system identification with evolutionary algorithms. EUSIPCO 2012: 2114-2118 - [c36]Hector Poveda, Guillaume Ferré, Éric Grivel:
Frequency synchronization and channel equalization for an OFDM-IDMA uplink system. ICASSP 2012: 3209-3212 - 2011
- [j14]Laure Buhry, Filippo Grassia, Audrey Giremus, Éric Grivel, Sylvie Renaud, Sylvain Saïghi:
Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Differential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits. Neural Comput. 23(10): 2599-2625 (2011) - [j13]Julien Petitjean, Éric Grivel:
STAP fondé sur une modélisation autorégressive (AR) des interférences. Estimation des paramètres AR par filtrage de Kalman. Traitement du Signal 28(1-2): 203-229 (2011) - [c35]Hiroshi Ijima, Éric Grivel:
Estimation of multichannel TVAR parameters from noisy observations based on an evolutive method. EUSIPCO 2011: 990-994 - [c34]Hector Poveda, Guillaume Ferré, Éric Grivel:
Robust frequency synchronization for an OFDMA uplink system disturbed by a Cognitive Radio system interference. ICASSP 2011: 3552-3555 - [c33]Hiroshi Ijima, Julien Petitjean, Éric Grivel:
Evolutive method based on a generalized eigenvalue decomposition to estimate time varying autoregressive parameters from noisy observations. ICASSP 2011: 3808-3811 - 2010
- [j12]Fernando Merchan, Flavius Turcu, Éric Grivel, Mohamed Najim:
Rayleigh fading channel simulator based on inner-outer factorization. Signal Process. 90(1): 24-33 (2010) - [j11]Julien Petitjean, Éric Grivel, William Bobillet, Patrick Roussilhe:
Multichannel AR parameter estimation from noisy observations as an errors-in-variables issue. Signal Image Video Process. 4(2): 209-220 (2010) - [j10]Audrey Giremus, Éric Grivel, Julie Grolleau, Mohamed Najim:
A Rao-Blackwellized Particle Filter for Joint Channel/Symbol Estimation in MC-DS-CDMA Systems. IEEE Trans. Commun. 58(8): 2292-2304 (2010) - [c32]Julien Petitjean, Éric Grivel, Roberto Diversi, Roberto Guidorzi:
A recursive errors-in-variables method for tracking time varying autoregressive parameters from noisy observations. EUSIPCO 2010: 840-844 - [c31]Hector Poveda, Guillaume Ferré, Éric Grivel:
Joint channel and frequency offset estimation using sigma point Kalman filter for an OFDMA uplink system. EUSIPCO 2010: 855-859 - [c30]Julien Petitjean, Éric Grivel, Patrick Roussilhe:
Fixed-point based autoregressive parameter estimation for space time adaptive processing. ICASSP 2010: 2754-2757
2000 – 2009
- 2009
- [j9]Ali Jamoos, Éric Grivel, Nikolai D. Christov, Mohamed Najim:
Estimation of autoregressive fading channels based on two cross-coupled H∞ filters. Signal Image Video Process. 3(3): 209-216 (2009) - [c29]Hector Poveda, Guillaume Ferré, Éric Grivel, P. Ramos:
A blind iterative carrier frequency offset estimator based on a Kalman approach for an interleaved OFDMA uplink system. EUSIPCO 2009: 378-382 - [c28]Julien Petitjean, Éric Grivel, Patrick Roussilhe:
H∞ filtering for autoregressive modeling based Space-Time Adaptive Processing. EUSIPCO 2009: 597-601 - [c27]Ali Jamoos, Éric Grivel, Nidal Shakarneh, Hanna Abdel Nour:
Dual H∞ vs dual Kalman filters for M-AR parameter estimation from noisy observations. EUSIPCO 2009: 1700-1704 - [c26]Laure Buhry, Audrey Giremus, Éric Grivel, Sylvain Saïghi, Sylvie Renaud:
New variants of the differential evolution algorithm: Application for neuroscientists. EUSIPCO 2009: 2352-2356 - [c25]Guillaume Ferré, Audrey Giremus, Éric Grivel:
Small-group learning projects to make signal processing more appealing: From speech processing to OFDMA synchronization. ICASSP 2009: 2317-2320 - [c24]Frederic Faurie, Audrey Giremus, Éric Grivel:
Fault detection combining interacting multiple model and multiple solution separation for aviation satellite navigation system. ICASSP 2009: 3273-3276 - [c23]Julien Petitjean, Roberto Diversi, Éric Grivel, Roberto Guidorzi, Patrick Roussilhe:
Recursive errors-in-variables approach for ar parameter estimation from noisy observations. Application to radar sea clutter rejection. ICASSP 2009: 3401-3404 - [c22]Audrey Giremus, Éric Grivel, Francis Castanie:
Is H∞ filtering relevant for correlated noises in GPS navigation? DPS 2009: 1-6 - 2008
- [j8]Julie Grolleau, Éric Grivel, Mohamed Najim:
Two Ways to Simulate a Rayleigh Fading Channel Based on a Stochastic Sinusoidal Model. IEEE Signal Process. Lett. 15: 107-110 (2008) - [c21]Ali Jamoos, Ahmad Abdo, Hanna Abdel Nour, Éric Grivel:
Two Cross-Coupled H∞ Filters for Fading Channel Estimation in OFDM Systems. TeNe 2008: 349-353 - [c20]Fernando Merchan, Flavius Turcu, Éric Grivel, Mohamed Najim:
Inner-outer factorization for rayleigh fading channel modeling. EUSIPCO 2008: 1-5 - [c19]Julien Petitjean, Éric Grivel, William Bobillet, Patrick Roussilhe:
Multichannel AR parameter estimation from noisy observations as an errors-in-variables issue. EUSIPCO 2008: 1-5 - 2007
- [j7]Ali Jamoos, Éric Grivel, William Bobillet, Roberto Guidorzi:
Errors-In-Variables-Based Approach for the Identification of AR Time-Varying Fading Channels. IEEE Signal Process. Lett. 14(11): 793-796 (2007) - [j6]David Labarre, Éric Grivel, Mohamed Najim, Nikolai D. Christov:
Dual Hinfinity Algorithms for Signal Processing - Application to Speech Enhancement. IEEE Trans. Signal Process. 55(11): 5195-5208 (2007) - [j5]William Bobillet, Roberto Diversi, Éric Grivel, Roberto Guidorzi, Mohamed Najim, Umberto Soverini:
Speech Enhancement Combining Optimal Smoothing and Errors-In-Variables Identification of Noisy AR Processes. IEEE Trans. Signal Process. 55(12): 5564-5578 (2007) - [c18]William Bobillet, Éric Grivel, Ioana Serban, Stefano Serra-Capizzano:
Frequency domain errors-in-variables approach for two-channel SIMO system identification. EUSIPCO 2007: 520-524 - [c17]Julie Grolleau, David Labarre, Éric Grivel, Mohamed Najim:
The Stochastic Sinusoidal Model for Rayleigh Fading Channel Simulation. ICASSP (3) 2007: 213-216 - [c16]Julie Grolleau, Éric Grivel, Mohamed Najim:
Subspace Identification Method for Rayleigh Channel Estimation. ICASSP (3) 2007: 449-452 - [c15]Julie Grolleau, Audrey Giremus, Éric Grivel:
Cross-Coupled Rao-Blackwellized Particle and Kalman Filters for the Joint Symbol-Channel Estimation in MC-DS-CDMA Systems. MCSS 2007: 417-426 - [c14]Ali Jamoos, Julie Grolleau, Éric Grivel, Hanna Abdel Nour:
Kalman Vs H∞ Algorithms for MC-DS-CDMA Channel Estimation with or without a Priori ar Modeling. MCSS 2007: 427-436 - 2006
- [j4]David Labarre, Éric Grivel, Yannick Berthoumieu, Ezio Todini, Mohamed Najim:
Consistent estimation of autoregressive parameters from noisy observations based on two interacting Kalman filters. Signal Process. 86(10): 2863-2876 (2006) - [c13]Nikolai D. Christov, Mohamed Najim, Éric Grivel:
Improved Sensitivity Estimate for the H2 Estimation Problem. International Conference on Computational Science (1) 2006: 697-703 - 2005
- [j3]David Hoffman, Éric Grivel, Lisa Battle:
Designing software architectures to facilitate accessible Web applications. IBM Syst. J. 44(3): 467-484 (2005) - [c12]David Labarre, Éric Grivel, Mohamed Najim, Nikolai D. Christov:
Relevance of H∞ filtering for speech enhancement. ICASSP (4) 2005: 169-172 - [c11]Ali Jamoos, Éric Grivel, Mohamed Najim:
Blind adaptive multi-user detection for multi-carrier DS-CDMA systems in frequency selective fading channels. ICASSP (3) 2005: 925-928 - 2004
- [c10]David Labarre, Éric Grivel, Mohamed Najim, Ezio Todini:
Two-Kalman filters approach for unbiased AR parameter estimation from noisy observations, application to speech enhancement. EUSIPCO 2004: 633-636 - [c9]William Bobillet, Éric Grivel, Roberto Guidorzi, Mohamed Najim:
Cancelling convolutive and additive coloured noises for speech enhancement. ICASSP (2) 2004: 777-780 - [c8]David Labarre, Éric Grivel, Mohamed Najim, Ezio Todini:
Two-Kalman filters based instrumental variable techniques for speech enhancement. MMSP 2004: 375-378 - [c7]Ali Jamoos, Éric Grivel, Mohamed Najim:
Designing adaptive filters-based MMSE receivers for asynchronous multicarrier DS-CDMA systems. PIMRC 2004: 2930-2934 - 2003
- [c6]Hong Cai, Éric Grivel, Mohamed Najim:
A dual Kalman filter-based smoother for speech enhancement. ICASSP (1) 2003: 912-915 - 2002
- [j2]Éric Grivel, Marcel Gabrea, Mohamed Najim:
Speech enhancement as a realisation issue. Signal Process. 82(12): 1963-1978 (2002) - [c5]Nikolai D. Christov, Mohamed Najim, Éric Grivel, David Henry:
Conditioning of the discrete-time infinite-horizon H∞ filtering problem. ACC 2002: 1867-1868 - [c4]Nikolai D. Christov, Mohamed Najim, Éric Grivel, David Henry:
New perturbation bounds for the discrete-time H∞ filtering problem. CDC 2002: 4250-4251 - [c3]David Labarre, Éric Grivel, Yannick Berthoumieu, Mohamed Najim:
A stochastic sinusoidal model with application to speech and EEG-sleep spindle signals. EUSIPCO 2002: 1-4 - [c2]Tiberiu Muntean, Éric Grivel, Mohamed Najim:
Audio Digital Watermarking Based on Hybrid Spread Spectrum. WEDELMUSIC 2002: 150-155
1990 – 1999
- 1999
- [j1]Marcel Gabrea, Éric Grivel, Mohamed Najim:
A single microphone Kalman filter-based noise canceller. IEEE Signal Process. Lett. 6(3): 55-57 (1999) - [c1]Éric Grivel, Marcel Gabrea, Mohamed Najim:
Subspace state space model identification for speech enhancement. ICASSP 1999: 781-784
Coauthor Index
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