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Dana Lahat
Dana Lahat
University of Maryland, Baltimore County and Tel Aviv University
Email confirmado em ieee.org - Página inicial
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Multimodal data fusion: an overview of methods, challenges, and prospects
D Lahat, T Adali, C Jutten
Proceedings of the IEEE 103 (9), 1449-1477, 2015
10262015
Second-order multidimensional ICA: Performance analysis
D Lahat, JF Cardoso, H Messer
IEEE Transactions on Signal Processing 60 (9), 4598-4610, 2012
602012
Challenges in multimodal data fusion
D Lahat, T Adalı, C Jutten
EUSIPCO, 2014
542014
Joint independent subspace analysis using second-order statistics
D Lahat, C Jutten
IEEE Transactions on Signal Processing 64 (18), 4891-4904, 2015
352015
Joint block diagonalization algorithms for optimal separation of multidimensional components
D Lahat, JF Cardoso, H Messer
Latent Variable Analysis and Signal Separation: 10th International …, 2012
192012
Blind Separation of Multidimensional Components via Subspace Decomposition: Performance Analysis
D Lahat, JF Cardoso, H Messer
IEEE Transactions on Signal Processing 62 (11), 2894-2905, 2014
162014
Joint independent subspace analysis: A quasi-Newton algorithm
D Lahat, C Jutten
International Conference on Latent Variable Analysis and Signal Separation …, 2015
132015
Joint blind source separation of multidimensional components: Model and algorithm
D Lahat, C Jutten
EUSIPCO, 2014
112014
An alternative proof for the identifiability of independent vector analysis using second order statistics
D Lahat, C Jutten
Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016
102016
Joint independent subspace analysis: Uniqueness and identifiability
D Lahat, C Jutten
IEEE Transactions on Signal Processing 67 (3), 684-699, 2018
82018
Identifiability of second-order multidimensional ICA
D Lahat, JF Cardoso, H Messer
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
82012
Optimal performance of second-order multidimensional ICA
D Lahat, JF Cardoso, H Messer
Independent Component Analysis and Signal Separation: 8th International …, 2009
82009
Positive semidefinite matrix factorization: A link to phase retrieval and a block gradient algorithm
D Lahat, C Févotte
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
62020
A generalization to Schur's lemma with an application to joint independent subspace analysis
D Lahat, C Jutten
62016
Joint analysis of multiple datasets by cross-cumulant tensor (block) diagonalization
D Lahat, C Jutten
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016 IEEE, 1-5, 2016
52016
ICA of correlated sources mismodeled as uncorrelated: Performance analysis
D Lahat, H Messer, JF Cardoso
2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 489-492, 2009
42009
Positive semidefinite matrix factorization: A connection with phase retrieval and affine rank minimization
D Lahat, Y Lang, VYF Tan, C Févotte
IEEE Transactions on Signal Processing 69, 3059-3074, 2021
32021
Positive semidefinite matrix factorization based on truncated Wirtinger flow
D Lahat, C Févotte
2020 28th European Signal Processing Conference (EUSIPCO), 1035-1039, 2021
32021
A new link between joint blind source separation using second order statistics and the canonical polyadic decomposition
D Lahat, C Jutten
International Conference on Latent Variable Analysis and Signal Separation …, 2018
32018
Schur's lemma for coupled reducibility and coupled normality
D Lahat, C Jutten, H Shapiro
SIAM Journal on Matrix Analysis and Applications 40 (3), 998-1021, 2019
22019
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