Yannick Deville

Orcid: 0000-0002-8769-2446

According to our database1, Yannick Deville authored at least 158 papers between 1990 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects.
Remote. Sens., September, 2023

Exploiting the higher-order statistics of random-coefficient pure states for quantum information processing.
Quantum Inf. Process., May, 2023

An NMF-based method for jointly handling mixture nonlinearity and intraclass variability in hyperspectral blind source separation.
Digit. Signal Process., March, 2023

Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability.
Sensors, February, 2023

Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming.
IEEE Access, 2023

Blind Processing Methods for Quantum Channels: Identification, Equalization and Source Separation.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Novel Linear Mixing Model Addressing Spectral-Spatial Intra-Class Variability with an Associated Penalized NMF-Based Hyperspectral Unmixing Algorithm.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

New Informed Linear Mixing Model And NMF-Based Unmixing Method Addressing Spectral Variability With An Application To Mineral Detection And Mapping Using Prisma Hyperspectral Remote Sensing Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Hyperspectral Pansharpening in the Reflective Domain with a Second Panchromatic Channel in the SWIR II Spectral Domain.
Remote. Sens., 2022

Statistical intrusion detection and eavesdropping in quantum channels with coupling: multiple-preparation and single-preparation methods.
Quantum Inf. Process., 2022

Hypersharpening by an NMF-Unmixing-Based Method Addressing Spectral Variability.
IEEE Geosci. Remote. Sens. Lett., 2022

Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

A Gradient-Based Method for the Modified Augmented Linear Mixing Model Addressing Spectral Variability for Hyperspectral Unmixing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Minerals Detection and Mapping in the Southwestern Algeria Gara-Djebilet Region with a Multistage Informed NMF-Based Unmixing Approach Using Prisma Remote Sensing Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources.
Proceedings of the IEEE International Conference on Acoustics, 2022

Decontamination of galaxy spectra using four dispersion directions.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization.
Remote. Sens., 2021

Two-Qubit Unitary Quantum Process Tomography by Multiple-Delay Output Measurements for One Unknown Input Pure State Value.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Hypersharpening by a Multiplicative Joint-Criterion NMF Method Addressing Spectral Variability.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Fusion of Panchromatic and Hyperspectral Images in the Reflective Domain by a Combinatorial Approach and Application to Urban Landscape.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively-Tuned Mixing Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Gradient-Based NMF Methods for Hyperspectral Unmixing Addressing Spectral Variability with a Multiplicative-Tuning Linear Mixing Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Informed NMF-Based Unmixing Approach for Mineral Detection and Mapping in the Algerian Central Hoggar Using PRISMA Remote Sensing Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Using a Panchromatic Image to Improve Hyperspectral Unmixing.
Remote. Sens., 2020

Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects.
Remote. Sens., 2020

Blind Unmixing of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint.
Remote. Sens., 2020

Separation of galaxy spectra measured with slitless spectroscopy.
Digit. Signal Process., 2020

Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2019
A second-order statistics method for blind source separation in post-nonlinear mixtures.
Signal Process., 2019

Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data.
Remote. Sens., 2019

<i>N</i>-qubit system in a pure state: a necessary and sufficient condition for unentanglement.
Quantum Inf. Process., 2019

From separability/identifiability properties of bilinear and linear-quadratic mixture matrix factorization to factorization algorithms.
Digit. Signal Process., 2019

A New Hyperspectral Unmixing Method Using Co-Registered Hyperspectral and Panchromatic Images.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy.
Proceedings of the IEEE International Conference on Acoustics, 2019

An NMF-Based Approach for Hyperspectral Unmixing Using a New Multiplicative-tuning Linear Mixing Model to Address Spectral Variability.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: A Hyperspectral Unmixing Method Dealing with Intra-Class Variability.
Remote. Sens., 2018

A second-order blind source separation method for bilinear mixtures.
Multidimens. Syst. Signal Process., 2018

NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Linear-Quadratic NMF-Based Urban Hyperspectral Data Unmixing With Some Known Endmembers.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Stochastic quantum Information Processing, with Applications to blind quantum System identification and Source separation.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Hyperspectral Imagery for Environmental Urban Planning.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Detection And Area Estimation For Photovoltaic Panels In Urban Hyperspectral Remote Sensing Data By An Original Nmf-Based Unmixing Method.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

New Classes of Blind Quantum Source Separation and Process Tomography Methods Based on Spin Component Measurements Along Two Directions.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2017

Concepts and Criteria for Blind Quantum Source Separation and Blind Quantum Process Tomography.
Entropy, 2017

Blind quantum source separation: Quantum-processing qubit uncoupling systems based on disentanglement.
Digit. Signal Process., 2017

Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: a Hyperspectral Unmixing Method Dealing with Intra-class Variability.
CoRR, 2017

Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Fast Disentanglement-Based Blind Quantum Source Separation and Process Tomography: A Closed-Form Solution Using a Feedback Classical Adapting Structure.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A Blind Identification and Source Separation Method Based on Subspace Intersections for Hyperspectral Astrophysical Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A new multiplicative nonnegative matrix factorization method for unmixing hyperspectral images combined with multispectral data.
Proceedings of the 25th European Signal Processing Conference, 2017

Impact of the initialisation of a blind unmixing method dealing with intra-class variability.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Analytical performance analysis for blind quantum source separation with time-varying coupling.
Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017

2016
A linear-quadratic unsupervised hyperspectral unmixing method dealing with intra-class variability.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast disentanglement-based blind quantum source separation and process tomography using a feedforward quantum-classical adapting structure.
Proceedings of the 24th European Signal Processing Conference, 2016

A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
A method based on nonnegative matrix factorization dealing with intra-class variability for unsupervised hyperspectral unmixing.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Hyperspectral data multi-sharpening based on linear-quadratic nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

From Blind Quantum Source Separation to Blind Quantum Process Tomography.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy.
Proceedings of the 23rd European Signal Processing Conference, 2015

Matrix factorization for bilinear blind source separation: Methods, separability and conditioning.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images.
IEEE Trans. Signal Process., 2014

Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources.
IEEE Trans. Signal Process., 2014

Linear-Quadratic Mixing Model for Reflectances in Urban Environments.
IEEE Trans. Geosci. Remote. Sens., 2014

Characterization of hyperspectral images prior to unmixing, based on eigendecompositions and sum-to-one condition.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Blind qubit state disentanglement with Quantum processing: Principle, criterion and algorithm using measurements along two directions.
Proceedings of the IEEE International Conference on Acoustics, 2014

Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties.
Proceedings of the IEEE International Conference on Acoustics, 2014

A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2013
Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations.
Signal Process., 2013

Joint nonnegative matrix factorization for hyperspectral and multispectral remote sensing data fusion.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

NMF-Based spectral unmixingof herschel observations of the horsehead nebula.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

A Quantum-feedforward and classical-feedback separating structure adapted with monodirectional measurements; Blind qubit uncoupling capability and links with ICA.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Positivity-based separation of stellar spectra using a parametric mixing model.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
ICA-based and second-order separability of nonlinear models involving reference signals: General properties and application to quantum bits.
Signal Process., 2012

Classical-processing and quantum-processing signal separation methods for qubit uncoupling.
Quantum Inf. Process., 2012

Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints.
Pattern Recognit., 2012

A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization.
Proceedings of the Image and Signal Processing - 5th International Conference, 2012

Nonlinear Blind Source Separation Applied to a Simple Bijective Model.
Proceedings of the Image and Signal Processing - 5th International Conference, 2012

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Exact and Approximate Quantum Independent Component Analysis for Qubit Uncoupling.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011
Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures.
Signal Process., 2011

Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Physical modelling and non-linear unmixing method for urban hyperspectral images.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

A blind quantum source separation method based on mutual information for retrieving two qubits with cylindrical-symmetry heisenberg coupling.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Blind Separation methods based on correlation for sparse possibly-correlated images.
Proceedings of the IEEE International Conference on Acoustics, 2010

Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Blind Source Separation of Overdetermined Linear-Quadratic Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

ICA Separability of Nonlinear Models with References: General Properties and Application to Heisenberg-Coupled Quantum States (Qubits).
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation.
Proceedings of the 18th European Signal Processing Conference, 2010

Cumulant-based estimation of quadratic mixture parameters for blind source separation.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields.
IEEE Trans. Image Process., 2009

Blind Separation of Nonstationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm.
IEEE Signal Process. Lett., 2009

Blind separation of piecewise stationary non-Gaussian sources.
Signal Process., 2009

Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain.
Signal Process., 2009

Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations.
Signal Process., 2009

Improvement of remote sensing multispectral image classification by using Independent Component Analysis.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification.
IEEE Trans. Signal Process., 2008

Blind partial separation of underdetermined convolutive mixtures of complex sources based on differential normalized kurtosis.
Neurocomputing, 2008

Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources.
Proceedings of the IEEE International Conference on Acoustics, 2008

Maximum likelihood blind separation of two quantum states (qubits) with cylindrical-symmetry Heisenberg spin coupling.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Differential Fast Fixed-Point Algorithms for Underdetermined Instantaneous and Convolutive Partial Blind Source Separation.
IEEE Trans. Signal Process., 2007

Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures.
Signal Process., 2007

Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Blind Separation of Non-stationary Images Using Markov Models.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Blind Separation of Quantum States: Estimating Two Qubits from an Isotropic Heisenberg Spin Coupling Model.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Markovian blind separation of non-stationary temporally correlated sources.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Time-domain fast fixed-point algorithms for convolutive ICA.
IEEE Signal Process. Lett., 2006

A Time-Frequency CORRelation-Based Blind Source Separation Method for Time-Delayed Mixtures.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Markovian Blind Image Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A time-scale correlation-based blind separation method applicable to correlated sources.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources.
Signal Process., 2005

2004
Differential source separation for underdetermined instantaneous or convolutive mixtures: concept and algorithms.
Signal Process., 2004

Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Blind Separation of Nonstationary Sources by Spectral Decorrelation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A Time-Frequency Blind Source Separation Method Based on Segmented Coherence Function.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Blind separation of dependent sources using the "time-frequency ratio of mixtures" approach.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002
Multi-tag radio-frequency identification systems based on new blind source separation neural networks.
Neurocomputing, 2002

Analysis and control of the stability of a differential separation method for underdetermined convolutive mixtures.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
A distributed adaptive block matching algorithm: Dis-ABMA.
Signal Process. Image Commun., 2001

Blind Source Separation in Convolutive Mixtures: A Hybrid Approach for Colored Sources.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

A second-order differential approach for underdetermined convolutive source separation.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Differential source separation: Concept and application to a criterion based on differential normalized kurtosis.
Proceedings of the 10th European Signal Processing Conference, 2000

A criterion for deriving the sub/super gaussianity of source signals from their mixtures.
Proceedings of the 10th European Signal Processing Conference, 2000

Numerical and analytical solutions to the differential source separation problem.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Analysis of the convergence properties of self-normalized source separation neural networks.
IEEE Trans. Signal Process., 1999

Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour.
Signal Process., 1999

Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals.
Signal Process., 1999

A convolutive source separation method with self-optimizing non-linearities.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1997
Analysis of the stability of time-domain source separation algorithms for convolutively mixed signals.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Optimization of the asymptotic performance of time-domain convolutive source separation algorithms.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1996
A unified stability analysis of the Hérault-Jutten source separation neural network.
Signal Process., 1996

1993
A process-dependent partitioning strategy for cache memories.
SIGARCH Comput. Archit. News, 1993

Digital Neural Networks For High-Speed Divisions And Root Extractions.
Int. J. Neural Syst., 1993

1992
A class of replacement policies for medium and high-associativity structures.
SIGARCH Comput. Archit. News, 1992

1990
A low-cost usage-based replacement algorithm for cache memories.
SIGARCH Comput. Archit. News, 1990


  Loading...