A Blind Source Separation Technique Using Second-Order Statistics, IEEE Transations on Signal Processing, vol.45, pp.434-444, 1997. ,
Algorithms for Non-negative Matrix Factorization, Neural Information Processing Systems, pp.556-562, 2001. ,
Projected Gradient Methods for Nonnegative Matrix Factorization, Neural Computation, vol.5, issue.10, pp.2756-2779, 2007. ,
DOI : 10.1007/BF01584660
Nonnegative Matrix and Tensor Factorizations, Applications to Exploratory Multi-way Data Analysis and Blind Source Separation, 2009. ,
Non-negative Source Separation: Range of Admissible Solutions and Conditions for the Uniqueness of the Solution, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.289-292, 2005. ,
DOI : 10.1109/ICASSP.2005.1416297
Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.4133-4145, 2006. ,
DOI : 10.1109/TSP.2006.880310
URL : https://hal.archives-ouvertes.fr/hal-00121602
Conditions for nonnegative independent component analysis, IEEE Signal Processing Letters, vol.9, issue.6, pp.177-180, 2002. ,
DOI : 10.1109/LSP.2002.800502
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.9018
Nonnegative independent component analysis based on minimizing mutual information technique, Esep vs iterations (b) Erec vs iterations Fig. 4. Performance vs iteration number (n = 10, pp.878-883, 2006. ,
DOI : 10.1016/j.neucom.2005.06.008
Algorithms for nonnegative independent component analysis, IEEE Transactions on Neural Networks, vol.14, issue.3, pp.534-543, 2003. ,
DOI : 10.1109/TNN.2003.810616
A "nonnegative PCA" algorithm for independent component analysis, IEEE Transactions on Neural Networks, vol.15, issue.1, 2004. ,
DOI : 10.1109/TNN.2003.820672
Improvement for Nonnegative PCA Algorithm for Independent Component Analysis, Neural Networks and Brain, 2005. ICNN&B '05. International Conference on, pp.2000-2002, 2005. ,
Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization, Lecture Notes in Computer Science, vol.6365, pp.522-529, 2010. ,
DOI : 10.1007/978-3-642-15995-4_65
URL : https://hal.archives-ouvertes.fr/hal-00526058
Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA, Lecture Notes in Computer Science, vol.3195, pp.44-56, 2004. ,
DOI : 10.1007/978-3-540-30110-3_7
Blind Separation of Positive Sources by Globally Convergent Gradient Search, Neural Computation, vol.16, issue.9, pp.1811-1825, 2004. ,
DOI : 10.1016/S0893-6080(05)80107-8