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Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters

Monthly weather review, 2012-02, Vol.140 (2), p.528-542

2012

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Blind separation of instantaneous mixtures of nonstationary sources

IEEE transactions on signal processing, 2001-09, Vol.49 (9), p.1837-1848

2001

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Approximate Joint Singular Value Decomposition of an Asymmetric Rectangular Matrix Set

IEEE transactions on signal processing, 2011-01, Vol.59 (1), p.415-424

2011

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On the Risk of Using RÉnyi's Entropy for Blind Source Separation

IEEE transactions on signal processing, 2008-10, Vol.56 (10), p.4611-4620

2008

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Mutual information approach to blind separation of stationary sources

IEEE transactions on information theory, 2002-07, Vol.48 (7), p.1935-1946

Tuan Pham, Dinh

2002

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Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation

IEEE transactions on information theory, 2007-03, Vol.53 (3), p.1030-1042

2007

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Blind separation of mixture of independent sources through a quasi-maximum likelihood approach

IEEE transactions on signal processing, 1997-07, Vol.45 (7), p.1712-1725

1997

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Fast algorithms for mutual information based independent component analysis

IEEE transactions on signal processing, 2004-10, Vol.52 (10), p.2690-2700

PHAM, Dinh-Tuan

2004

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A singular evolutive extended Kalman filter for data assimilation in oceanography

Journal of marine systems, 1998-10, Vol.16 (3), p.323-340

1998

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Stochastic methods for sequential data assimilation in strongly nonlinear systems

Monthly weather review, 2001-05, Vol.129 (5), p.1194-1207

Pham, Dinh Tuan

2001

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Water pollution estimation based on the 2D transport–diffusion model and the Singular Evolutive Interpolated Kalman filter

Comptes rendus. Mecanique, 2014-02, Vol.342 (2), p.106-124

2014

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Markovian source separation

IEEE transactions on signal processing, 2003-12, Vol.51 (12), p.3009-3019

2003

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Local minima of information-theoretic criteria in blind source separation

IEEE signal processing letters, 2005-11, Vol.12 (11), p.788-791

2005

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Entropy of a variable slightly contaminated with another

IEEE signal processing letters, 2005-07, Vol.12 (7), p.536-539

Pham, Dinh-Tuan

2005

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Blind Partial Separation of Instantaneous Mixtures of Sources

Independent Component Analysis and Blind Signal Separation, 2006, p.868-875

2006

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Corporate Capital Structure Adjustments: Evidence from Vietnam Stock Exchange Market

The Journal of Asian Finance, 2019, Economics and Business , 6(3), , pp.41-53

2019

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On optimal transforms in lossy compression of multicomponent images with JPEG2000

Signal processing, 2010-03, Vol.90 (3), p.759-773

2010

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Compression of Multicomponent Satellite Images Using Independent Components Analysis

Independent Component Analysis and Blind Signal Separation, 2006, p.335-342

2006

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Generalized mutual information approach to multichannel blind deconvolution

Signal processing, 2007-09, Vol.87 (9), p.2045-2060

Pham, Dinh-Tuan

2007

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Estimation of continuous-time autoregressive model from finely sampled data

IEEE transactions on signal processing, 2000-09, Vol.48 (9), p.2576-2584

PHAM, D.-T

2000

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ICA based algorithms for computing optimal 1-D linear block transforms in variable high-rate source coding

Signal processing, 2008-02, Vol.88 (2), p.268-283

2008

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A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures

Independent Component Analysis and Blind Signal Separation, 2004, p.807-815

2004

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A simplified reduced order Kalman filtering and application to altimetric data assimilation in Tropical Pacific

Journal of marine systems, 2002-07, Vol.36 (1), p.101-127

2002

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On optimal orthogonal transforms at high bit-rates using only second order statistics in multicomponent image coding with JPEG2000

Signal processing, 2010-03, Vol.90 (3), p.753-758

2010

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Evolution of the Reduced State Space and Data Assimilation Schemes Based on the Kalman Filter

Journal of the Meteorological Society of Japan. Ser. II, 2003, Vol.81(1), pp.21-39

2003

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Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters

Blind separation of instantaneous mixtures of nonstationary sources

Approximate Joint Singular Value Decomposition of an Asymmetric Rectangular Matrix Set

On the Risk of Using RÉnyi's Entropy for Blind Source Separation

Mutual information approach to blind separation of stationary sources

Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation

Blind separation of mixture of independent sources through a quasi-maximum likelihood approach

Fast algorithms for mutual information based independent component analysis

A singular evolutive extended Kalman filter for data assimilation in oceanography

Stochastic methods for sequential data assimilation in strongly nonlinear systems

Water pollution estimation based on the 2D transport–diffusion model and the Singular Evolutive Interpolated Kalman filter

Markovian source separation

Local minima of information-theoretic criteria in blind source separation

Entropy of a variable slightly contaminated with another

Blind Partial Separation of Instantaneous Mixtures of Sources

Corporate Capital Structure Adjustments: Evidence from Vietnam Stock Exchange Market

On optimal transforms in lossy compression of multicomponent images with JPEG2000

Compression of Multicomponent Satellite Images Using Independent Components Analysis

Generalized mutual information approach to multichannel blind deconvolution

Estimation of continuous-time autoregressive model from finely sampled data

ICA based algorithms for computing optimal 1-D linear block transforms in variable high-rate source coding

A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures

A simplified reduced order Kalman filtering and application to altimetric data assimilation in Tropical Pacific

On optimal orthogonal transforms at high bit-rates using only second order statistics in multicomponent image coding with JPEG2000

Evolution of the Reduced State Space and Data Assimilation Schemes Based on the Kalman Filter

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