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- 1814 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--I: REGULAR PAPERS, VOL. 51, NO. 9, SEPTEMBER 2004 Blind Source Extraction From Convolutive Mixtures
- Franois-Benot VIALATTE Date of birth: 05/09/1979.
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- EEG CLASSIFICATION OF MILD AND SEVERE ALZHEIMER'S DISEASE USING PARALLEL
- INVESTIGATION OF ICA ALGORITHMS FOR FEATURE EXTRACTION OF EEG SIGNALS IN DISCRIMINATION OF
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- Comparing time-frequency patterns in brain signals: a new analysis method
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- Thse de doctorat de l'Universit Paris 6 Pierre et Marie Curie U.F.R. de Sciences de la Vie et de la Sant
- Abstracts / Neuroscience Research 58S (2007) S1S244 S185 P2-k16 A spike sorting method with optimal feature extraction
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- Adaptive Blind Signal Processing--Neural Network Approaches
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- Fast VQ Codebook Search in KLT Space Wladyslaw Skarbek(a)3
- Non-Negative Matrix Factorization with Quasi-Newton Optimization
- ADAPTIVE STEP SIZE TECHNIQUES FOR DECORRELATION AND BLIND SOURCE SEPARATION
- Application of Selected Projected Gradient Algorithms to Nonnegative Matrix Factorization
- OPTIMIZATION ALGORITHMS FOR SPARSE REPRESENTATIONS AND APPLICATIONS
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- Multichannel EEG Brain Activity Pattern Analysis in Time-Frequency Domain with Nonnegative Matrix
- Quantifying Statistical Interdependence by Message Passing on Graphs
- Nonnegative Matrix Factorization with Constrained Second Order Optimization
- Convergence Analysis of Local Algorithms for Blind Decorrelation
- 788 www.thelancet.com/neurology Vol 8 September 2009 Enhancing neurological functions through bioengineering
- IOP PUBLISHING PHYSIOLOGICAL MEASUREMENT Physiol. Meas. 28 (2007) 335347 doi:10.1088/0967-3334/28/4/001
- Appeared in journal: Neural Network World Vol.6, No.4, 1996, pp.515{523.
- To appear in Proc. the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Michigan, September, 1997. ON-LINE BLIND SIGNAL EXTRACTION METHODS EXPLOITING A PRIORI
- Digital Signal Processing 11, 204221 (2001) doi:10.1006/dspr.2001.0398, available online at http://www.idealibrary.com on
- Neural Networks for Blind Decorrelation of Signals Scott C. DOUGLAS
- FLEXIBLE INDEPENDENT COMPONENT Seungjin CHOIy, Andrzej CICHOCKIyy, Shunichi AMARIyy
- IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 13, NO. 3, MAY 2005 309 Stereophonic Noise Reduction Using a Combined
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- A Resampling Test for the Total Independence of Stationary Time Series: Application to the Performance
- Blind Separation of Filtered Sources Using State-Space Approach
- TO APPEAR IN JOURNAL OF COMMUNICATIONS AND NETWORKS, 1999 1 An Unsupervised Hybrid Network for Blind
- On similarity measures for spike trains Justin Dauwels
- Cortical Functional Connectivity Networks in Normal and Spinal Cord Injured Patients
- Natural Gradient Algorithm for Blind Separation of Overdetermined Mixture with Additive Noise
- Nonnegative Matrix Factorization with Quadratic Programming
- SAGE-Hindawi Access to Research International Journal of Alzheimer's Disease
- SELF-ADAPTIVE INDEPENDENT COMPONENT ANALYSIS for SUB-GAUSSIAN and SUPER-GAUSSIAN MIXTURES with
- PROCEEDINGS OF THE IEEE WORKSHOP ON NNSP'98, PP123-131 123 Blind Deconvolution/Equalization
- In: Advances in Neural Information Processing Systems 8, Editors D. Touretzky, M. Mozer, and M. Hasselmo, pp.757-763, MIT Press,
- TWO SPATIO-TEMPORAL DECORRELATION LEARNING ALGORITHMS AND THEIR APPLICATION TO MULTICHANNEL BLIND DECONVOLUTION
- K-hyperline clustering learning for sparse component analysis Zhaoshui He a,b,, Andrzej Cichocki a,d,e
- IEICE TRANS. FUNDAMENTALS, VOL. E00-X, NO. 5 MAY 1996 PAPER Special Issue on Nonlinear Theory and its Applications
- July 2006 / ACCJ Journal / 55 rain-powered remote
- Abstract. In many applications of signal processing, especially in communications and biomedicine, prepro-
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- [lecture NOTES] Andrzej Cichocki, Rafal Zdunek, and Shun-ichi Amari
- Extended SMART Algorithms for Non-Negative Matrix Factorization
- An exemplar-based statistical model for the dynamics of neural synchrony
- Digital Signal Processing 13 (2003) 252274 www.elsevier.com/locate/dsp
- BioMed Central Page 1 of 12
- Journal of VLSI Signal Processing, ?, 113 (2001) c2001 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification
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- Appeared in journal: Neural Network World, Vol.6, No.3, 1996, pp. 375{382 Published by: IDG Co., Prague, Czech Republic
- IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 48, NO. 5, MAY 2001 501 Noise Reduction in Brain Evoked Potentials Based on
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- 1028 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 54, NO. 3, MARCH 2006 Sequential Blind Source Separation Based
- IEICE TRANS. FUNDAMENTALS, VOL.Exx??, NO.xx XXXX 200x INVITED PAPER Special Section on Signal Processing
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- Journal of VLSI Signal Processing 31, 3144, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands.
- A Learning Algorithm for the Blind Separation of Non-zero Skewness Source
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- PUBLISHED IN: ICSP'96, 3RD INT. CONF. ON SIGNAL PROCESSING. PROCEEDINGS. IEEE PRESS/PHEI BEIJING, CHINA, VOL. I, 412-415.
- This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--I: REGULAR PAPERS 1
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- CRITICAL POINT ANALYSIS OF JOINT DIAGONALIZATION CRITERIA and Jonathan H. Manton
- Proc. the 1997 International Conference on Neural Networks (ICNN'97), Houston, June, Vol. 4, pp. 2135-2140, 1997. Dual Cascade Networks for Blind Signal Extraction
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- INVITED PAPER Blind Deconvolution of Dynamical Systems
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- *Corresponding author. E-mail: cia@brain.riken.go.jp. A. Cichocki is on leave from the Warsaw University of Technology, Poland.
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- International Journal of Neural Systems Special Issue on Issue's Topic
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- Short Communication Rational Variety Mapping for Contrast-Enhanced
- *Correspondence address: Laboratory for Open Information Systems, Brain Science Institute Riken, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan. Tel.: (#81) 48-467-9668; fax: (#81) 48-467-9686; e-mail
- MEASURING SPARSENESS OF NOISY SIGNALS Juha Karvanen1,2
- COMBINING BLIND SOURCE EXTRACTION WITH JOINT APPROXIMATE DIAGONALIZATION: THIN ALGORITHMS FOR ICA
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- BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES
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- Blind Source Separation: New Tools for Extraction of Source Signals and Denoising
- Trappl R. (ed.), Cybernetics and Systems '96, volume 2. Austrian Society for Cybernetic Studies.
- A Common Neural Network Model for Unsupervised Exploratory Data Analysis and Independent
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- Neurocomputing 49 (2002) 255277 www.elsevier.com/locate/neucom
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- Proc. the 1996 International Symposium on Nonlinear Theory and its Applications (NOLTA'96) Kochi, JAPAN, pp. 377-380, 1996.
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- BLIND EXTRACTION OF SOURCE SIGNALS WITH SPECIFIED STOCHASTIC FEATURES
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- Sparse Representation and Its Applications in Blind Source Separation
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- G. Ramponi et al. (eds.): Signal Processing VIII: Theories and Applications. EURASIP/LINT Publ., Trieste, Italy, 1996, vol. I, pp. 579{582.
- Volume 12, No. 1 Editorial Policy
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- 1996 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS VOL. 2, 157{160. IEEE, PISCATAWAY, NJ, 1996. 96CH35876.
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- MVA'96, IAPR Workshop on Machine Vision Applications Takagi M. (ed.), Proceedings, Univ. of Tokyo, Japan, Nov. 1996, pp. 212{215
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