2009 |
20 | EE | Dinh-Tuan Pham,
Marco Congedo:
Least Square Joint Diagonalization of Matrices under an Intrinsic Scale Constraint.
ICA 2009: 298-305 |
19 | EE | Dinh-Tuan Pham,
Zaher El-Chami,
Alexandre Guérin,
Christine Servière:
Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation.
ICA 2009: 98-105 |
2008 |
18 | EE | Michel Narozny,
Michel Barret,
Dinh-Tuan Pham:
ICA based algorithms for computing optimal 1-D linear block transforms in variable high-rate source coding.
Signal Processing 88(2): 268-283 (2008) |
2007 |
17 | EE | Frédéric Vrins,
Dinh-Tuan Pham,
Michel Verleysen:
Is the General Form of Renyi's Entropy a Contrast for Source Separation?
ICA 2007: 129-136 |
16 | EE | Frédéric Vrins,
Dinh-Tuan Pham,
Michel Verleysen:
Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation.
IEEE Transactions on Information Theory 53(3): 1030-1042 (2007) |
15 | EE | Frédéric Vrins,
Dinh-Tuan Pham:
Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties.
Neurocomputing 70(7-9): 1207-1214 (2007) |
14 | EE | Dinh-Tuan Pham:
Generalized mutual information approach to multichannel blind deconvolution.
Signal Processing 87(9): 2045-2060 (2007) |
2006 |
13 | EE | Dinh-Tuan Pham,
Frédéric Vrins:
Discriminacy of the minimum range approach to blind separation of bounded sources.
ESANN 2006: 377-382 |
12 | EE | Isidore Paul Akam Bita,
Michel Barret,
Dinh-Tuan Pham:
Compression of Multicomponent Satellite Images Using Independent Components Analysis.
ICA 2006: 335-342 |
11 | EE | Dinh-Tuan Pham:
Blind Partial Separation of Instantaneous Mixtures of Sources.
ICA 2006: 868-875 |
10 | EE | Frédéric Vrins,
Dinh-Tuan Pham,
Michel Verleysen:
Mixing and non-mixing local minima of the entropy contrast for blind source separation
CoRR abs/cs/0611106: (2006) |
2005 |
9 | EE | Sophie Achard,
Dinh-Tuan Pham,
Christian Jutten:
Criteria based on mutual information minimization for blind source separation in post nonlinear mixtures.
Signal Processing 85(5): 965-974 (2005) |
8 | EE | Jordi Solé i Casals,
Christian Jutten,
Dinh-Tuan Pham:
Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems.
Signal Processing 85(9): 1780-1786 (2005) |
2004 |
7 | EE | Jean-François Cardoso,
Dinh-Tuan Pham:
Optimization Issues in Noisy Gaussian ICA.
ICA 2004: 41-48 |
6 | EE | Christine Servière,
Dinh-Tuan Pham:
A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures.
ICA 2004: 807-815 |
2003 |
5 | EE | Jordi Solé i Casals,
Christian Jutten,
Dinh-Tuan Pham:
Initialisation of Nonlinearities for PNL and Wiener Systems Inversion.
IWANN (2) 2003: 225-232 |
2002 |
4 | | Dinh-Tuan Pham:
Mutual information approach to blind separation of stationary sources.
IEEE Transactions on Information Theory 48(7): 1935-1946 (2002) |
2001 |
3 | EE | Dinh-Tuan Pham:
Image segmentation using probabilistic fuzzy c-means clustering.
ICIP (1) 2001: 722-725 |
2 | EE | Dinh-Tuan Pham:
Blind separation of instantaneous mixture of sources via the Gaussian mutual information criterion.
Signal Processing 81(4): 855-870 (2001) |
1990 |
1 | | Pierre Comon,
Dinh-Tuan Pham:
Estimating the order of a FIR filter for noise cancellation.
IEEE Transactions on Information Theory 36(2): 429- (1990) |