| A Fast Approach for Overcomplete Sparse Decomposition Based on SmoothedNorm H Mohimani, M Babaie-Zadeh, C Jutten IEEE Transactions on Signal Processing 57 (1), 289-301, 2008 | 1423 | 2008 |
| Filtering noisy ECG signals using the extended Kalman filter based on a modified dynamic ECG model R Sameni, MB Shamsollahi, C Jutten, M Babaie-Zade Computers in Cardiology, 2005, 1017-1020, 2005 | 177 | 2005 |
| Fast Sparse Representation Based on Smoothed ℓ0 Norm GH Mohimani, M Babaie-Zadeh, C Jutten Independent Component Analysis and Signal Separation: 7th International …, 2007 | 173 | 2007 |
| Sparse decomposition of two dimensional signals A Ghaffari, M Babaie-Zadeh, C Jutten 2009 IEEE international conference on acoustics, speech and signal …, 2009 | 172 | 2009 |
| Learning overcomplete dictionaries based on atom-by-atom updating M Sadeghi, M Babaie-Zadeh, C Jutten IEEE Transactions on Signal Processing 62 (4), 883-891, 2013 | 127 | 2013 |
| Dictionary learning for sparse representation: A novel approach M Sadeghi, M Babaie-Zadeh, C Jutten IEEE Signal Processing Letters 20 (12), 1195-1198, 2013 | 114 | 2013 |
| An iterative Bayesian algorithm for sparse component analysis in presence of noise H Zayyani, M Babaie-Zadeh, C Jutten IEEE Transactions on Signal Processing 57 (11), 4378-4390, 2009 | 109 | 2009 |
| Image restoration using Gaussian mixture models with spatially constrained patch clustering M Niknejad, H Rabbani, M Babaie-Zadeh IEEE Transactions on Image Processing 24 (11), 3624-3636, 2015 | 106 | 2015 |
| Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering FM Naini, GH Mohimani, M Babaie-Zadeh, C Jutten Neurocomputing 71 (10-12), 2330-2343, 2008 | 100 | 2008 |
| Three easy ways for separating nonlinear mixtures? C Jutten, M Babaie-Zadeh, S Hosseini Signal Processing 84 (2), 217-229, 2004 | 97 | 2004 |
| A general approach for mutual information minimization and its application to blind source separation M Babaie-Zadeh, C Jutten Signal Processing 85 (5), 975-995, 2005 | 92 | 2005 |
| Complex-valued sparse representation based on smoothed ℓ0norm GH Mohimani, M Babaie-Zadeh, C Jutten 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 83 | 2008 |
| Bayesian pursuit algorithm for sparse representation H Zayyani, M Babaie-Zadeh, C Jutten 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 73 | 2009 |
| Robust-SL0 for stable sparse representation in noisy settings A Eftekhari, M Babaie-Zadeh, C Jutten, HA Moghaddam 2009 IEEE international conference on acoustics, speech and signal …, 2009 | 66 | 2009 |
| Blind separating convolutive post-nonlinear mixtures M Babaie-Zadeh, C Jutten, K Nayebi ICA, 138-143, 2001 | 64 | 2001 |
| Differential of the mutual information M Babaie-Zadeh, C Jutten, K Nayebi IEEE Signal Processing Letters 11 (1), 48-51, 2004 | 62 | 2004 |
| On blind source separation in convolutive and nonlinear mixtures M Babaie-Zadeh Ph. D. Thesis, INP Grenoble, 2002 | 56 | 2002 |
| Two-dimensional random projection A Eftekhari, M Babaie-Zadeh, HA Moghaddam Signal processing 91 (7), 1589-1603, 2011 | 54 | 2011 |
| Sparse ICA via cluster-wise PCA M Babaie-Zadeh, C Jutten, A Mansour Neurocomputing 69 (13-15), 1458-1466, 2006 | 53 | 2006 |
| Compressive detection of sparse signals in additive white Gaussian noise without signal reconstruction A Hariri, M Babaie-Zadeh Signal Processing 131, 376-385, 2017 | 51 | 2017 |
Christian JuttenEmeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire deVerified email at gipsa-lab.fr
